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"source_file": "00-course-setup/01-setup-cloud.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Pilve seadistamine ☁️ – GitHub Codespaces
|
||||
|
||||
**Kasuta seda juhendit, kui sa ei soovi midagi kohapeal installida.**
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
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|
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|
||||
"source_file": "00-course-setup/02-setup-local.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Kohalik seadistus 🖥️
|
||||
|
||||
**Kasuta seda juhendit, kui eelistad kõike oma sülearvutis käivitada.**
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
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|
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||||
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|
||||
"source_file": "00-course-setup/03-providers.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# LLM-teenusepakkuja valimine ja seadistamine 🔑
|
||||
|
||||
Ülesandeid **võib** seadistada töötama ühe või mitme suure keelemudeli (LLM) juurutusega läbi toetatud teenusepakkuja nagu OpenAI, Azure või Hugging Face. Need pakuvad _hostitud lõpp-punkti_ (API), millele saame programmeerimislikult ligi pääseda õige autentimisandmega (API võti või token). Selles kursuses käsitleme järgmisi pakkujaid:
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
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|
||||
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|
||||
"source_file": "00-course-setup/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Kursusega alustamine
|
||||
|
||||
Meil on väga hea meel, et alustate seda kursust ja näete, milliseid ideid generatiivne tehisintellekt inspireerib teid looma!
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
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|
||||
"source_file": "01-introduction-to-genai/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Sissejuhatus generatiivse tehisintellekti ja suurte keelemudelite maailma
|
||||
|
||||
[](https://youtu.be/lFXQkBvEe0o?si=6ZBcQTwLJJDpnX0K)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
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|
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||||
"source_file": "02-exploring-and-comparing-different-llms/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Erinevate suurte keelemudelite (LLM) uurimine ja võrdlemine
|
||||
|
||||
[](https://youtu.be/KIRUeDKscfI?si=8BHX1zvwzQBn-PlK)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
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|
||||
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||||
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|
||||
"source_file": "03-using-generative-ai-responsibly/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Generatiivse tehisintellekti vastutustundlik kasutamine
|
||||
|
||||
[](https://youtu.be/YOp-e1GjZdA?si=7Wv4wu3x44L1DCVj)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
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|
||||
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||||
"translation_date": "2025-10-18T02:56:29+00:00",
|
||||
"source_file": "04-prompt-engineering-fundamentals/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Põhitõed promptide kujundamisest
|
||||
|
||||
[](https://youtu.be/GElCu2kUlRs?si=qrXsBvXnCW12epb8)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
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||||
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||||
"translation_date": "2025-10-18T02:47:55+00:00",
|
||||
"source_file": "05-advanced-prompts/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Täiustatud juhiste loomine
|
||||
|
||||
[](https://youtu.be/BAjzkaCdRok?si=NmUIyRf7-cDgbjtt)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "df027997f1448323d6159b78a1b669bf",
|
||||
"translation_date": "2025-10-18T02:48:38+00:00",
|
||||
"source_file": "06-text-generation-apps/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Teksti genereerimise rakenduste loomine
|
||||
|
||||
[](https://youtu.be/0Y5Luf5sRQA?si=t_xVg0clnAI4oUFZ)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "a5308963a56cfbad2d73b0fa99fe84b3",
|
||||
"translation_date": "2025-10-18T02:55:16+00:00",
|
||||
"source_file": "07-building-chat-applications/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Generatiivse AI-põhiste vestlusrakenduste loomine
|
||||
|
||||
[](https://youtu.be/R9V0ZY1BEQo?si=IHuU-fS9YWT8s4sA)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
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|
||||
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|
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||||
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|
||||
"source_file": "08-building-search-applications/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Otsingurakenduste loomine
|
||||
|
||||
[](https://youtu.be/W0-nzXjOjr0?si=GcsqiTTvd7RKbo7V)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
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|
||||
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||||
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||||
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|
||||
"source_file": "08-building-search-applications/scripts/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Transkriptsiooniandmete ettevalmistamine
|
||||
|
||||
Transkriptsiooniandmete ettevalmistamise skriptid laadivad alla YouTube'i videote transkriptsioonid ja valmistavad need ette kasutamiseks näidises "Semantiline otsing OpenAI Embeddings ja Functions abil".
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
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||||
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|
||||
"source_file": "09-building-image-applications/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Pildigeneratsiooni rakenduste loomine
|
||||
|
||||
[](https://youtu.be/B5VP0_J7cs8?si=5P3L5o7F_uS_QcG9)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
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|
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||||
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|
||||
"source_file": "10-building-low-code-ai-applications/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Madal koodiga tehisintellekti rakenduste loomine
|
||||
|
||||
[](https://youtu.be/1vzq3Nd8GBA?si=h6LHWJXdmqf6mhDg)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
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|
||||
"source_file": "11-integrating-with-function-calling/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Funktsioonikutsumise integreerimine
|
||||
|
||||
[](https://youtu.be/DgUdCLX8qYQ?si=f1ouQU5HQx6F8Gl2)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
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||||
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|
||||
"source_file": "12-designing-ux-for-ai-applications/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# UX-i kujundamine tehisintellekti rakenduste jaoks
|
||||
|
||||
[](https://youtu.be/VKbCejSICA8?si=MKj7GQYHfXRZyWW6)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
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||||
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|
||||
"source_file": "13-securing-ai-applications/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Tehisintellekti rakenduste turvalisuse tagamine
|
||||
|
||||
[](https://youtu.be/m0vXwsx5DNg?si=TYkr936GMKz15K0L)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
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||||
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||||
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|
||||
"source_file": "14-the-generative-ai-application-lifecycle/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
[](https://youtu.be/ewtQY_RJrzs?si=dyJ2bjiljH7UUHCh)
|
||||
|
||||
# Generatiivse tehisintellekti rakenduse elutsükkel
|
||||
|
||||
@ -1,15 +1,6 @@
|
||||
<!--
|
||||
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||||
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|
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"source_file": "15-rag-and-vector-databases/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Taastepõhine täiustatud genereerimine (RAG) ja vektorandmebaasid
|
||||
|
||||
[](https://youtu.be/4l8zhHUBeyI?si=BmvDmL1fnHtgQYkL)
|
||||
[](https://youtu.be/4l8zhHUBeyI?si=BmvDmL1fnHtgQYkL)
|
||||
|
||||
Otsingurakenduste õppetunnis õppisime lühidalt, kuidas integreerida oma andmeid suurtesse keelemudelitesse (LLM). Selles õppetunnis süveneme andmete sidumisse teie LLM-rakenduses, protsessi mehhaanikasse ja andmete salvestamise meetoditesse, sealhulgas nii manustesse kui tekstidesse.
|
||||
|
||||
@ -53,7 +44,7 @@ LLM-toega chatbot töötleb kasutajate sisendeid, et genereerida vastuseid. See
|
||||
|
||||
### Kuidas RAG-id (taastepõhine täiustatud genereerimine) töötavad
|
||||
|
||||
|
||||
|
||||
|
||||
Oletame, et soovid juurutada chatbot’i, mis loob sinu märkmetest viktoriine, vajalik on ühendus teadmistebaasiga. Siin tuleb mängu RAG. RAG-id töötavad järgmiselt:
|
||||
|
||||
@ -65,7 +56,7 @@ Oletame, et soovid juurutada chatbot’i, mis loob sinu märkmetest viktoriine,
|
||||
|
||||
- **Täiustatud genereerimine:** LLM täiendab oma vastust päringust saadud olulise teabe põhjal. See võimaldab genereeritud vastusel põhineda mitte ainult eelneval koolitusandmestikul, vaid ka lisatud konteksti asjakohasel informatsioonil. RAG abil tuuakse vastustesse juurde teadmisbaasi infot, mille alusel LLM kasutajale lõpuks vastab.
|
||||
|
||||
|
||||
|
||||
|
||||
RAG arhitektuur on üles ehitatud transformeritele, millel on kaks osa: kodeerija ja dekodeerija. Näiteks kui kasutaja esitab küsimuse, kodeeritakse sisendtekst vektoriteks, mis haaravad sõnade tähenduse ning vektorid dekodeeritakse meie dokumentide indeksisse ja genereeritakse uus tekst kasutajapäringu põhjal. LLM kasutab nii kodeerija kui dekodeerija mudelit väljundi loomiseks.
|
||||
|
||||
@ -128,7 +119,7 @@ def split_text(text, max_length, min_length):
|
||||
Pärast lõikude moodustamist saame teksti kattes manustamismudelitega. Mõned mudelid, mida saad kasutada: word2vec, OpenAI ada-002, Azure Computer Vision ja paljud teised. Mudeli valik sõltub kasutatavatest keeltest, kodeeritava sisu tüübist (tekst/pildid/audio), sisendi mahust ja katte väljundi pikkusest.
|
||||
|
||||
Näide tekstimanusest OpenAI `text-embedding-ada-002` mudeli abil:
|
||||
|
||||
|
||||
|
||||
## Päringud ja vektorotsing
|
||||
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
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|
||||
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|
||||
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|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Neuraalvõrkude raamistikud
|
||||
|
||||
Nagu me juba õppisime, on neuraalvõrkude tõhusaks treenimiseks vaja teha kahte asja:
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
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|
||||
"source_file": "15-rag-and-vector-databases/data/own_framework.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Sissejuhatus tehisnärvivõrkudesse. Mitmekihiline perceptron
|
||||
|
||||
Eelmises osas õppisite tundma kõige lihtsamat tehisnärvivõrgu mudelit – ühekihilist perceptronit, mis on lineaarne kahe klassi klassifitseerimise mudel.
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "59021c5f419d3feda19075910a74280a",
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||||
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|
||||
"source_file": "15-rag-and-vector-databases/data/perceptron.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Sissejuhatus närvivõrkudesse: Perceptron
|
||||
|
||||
Üks esimesi katseid luua midagi tänapäevase närvivõrgu sarnast tehti 1957. aastal Frank Rosenblatti poolt Cornell Aeronautical Laboratory's. See oli riistvaraline lahendus nimega "Mark-1", mis oli loodud primitiivsete geomeetriliste kujundite, nagu kolmnurgad, ruudud ja ringid, äratundmiseks.
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
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||||
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|
||||
"source_file": "16-open-source-models/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
[](https://youtu.be/CuICgfuHFSg?si=x8SpFRUsIxM9dohN)
|
||||
|
||||
## Sissejuhatus
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "8e8d1f6a63da606af7176a87ff8e92b6",
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||||
"translation_date": "2025-10-18T02:57:54+00:00",
|
||||
"source_file": "17-ai-agents/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
[](https://youtu.be/yAXVW-lUINc?si=bOtW9nL6jc3XJgOM)
|
||||
|
||||
## Sissejuhatus
|
||||
|
||||
@ -1,13 +1,4 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "3772dcd23a98e2010f53ce8b9c583631",
|
||||
"translation_date": "2026-01-18T19:40:40+00:00",
|
||||
"source_file": "18-fine-tuning/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
[](https://youtu.be/6UAwhL9Q-TQ?si=5jJd8yeQsCfJ97em)
|
||||
[](https://youtu.be/6UAwhL9Q-TQ?si=5jJd8yeQsCfJ97em)
|
||||
|
||||
# Oma LLM-i peenhäälestamine
|
||||
|
||||
@ -32,7 +23,7 @@ Valmis? Alustame.
|
||||
|
||||
Tahad saada ülevaadet sellest, mida me õppetunni jooksul käsitleme, enne kui põhjalikumalt süveneme? Vaatle seda joonistatud juhendit, mis kirjeldab õppeprotsessi sellest õppetunnist – alustades peenhäälestamise põhimõtetest ja motiivist kuni protsessi ja parimate tavade mõistmiseni peenhäälestamise ülesande läbiviimisel. See on põnev uurimisvaldkond, nii et ära unusta vaadata ka [ressursside](./RESOURCES.md?WT.mc_id=academic-105485-koreyst) lehte lisalinkide saamiseks iseseisva õppimise toetuseks!
|
||||
|
||||
|
||||
|
||||
|
||||
## Mis on keelemudelite peenhäälestamine?
|
||||
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
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"translation_date": "2025-10-11T11:51:02+00:00",
|
||||
"source_file": "18-fine-tuning/RESOURCES.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Ressursid iseseisvaks õppimiseks
|
||||
|
||||
Tund koostati, kasutades mitmeid OpenAI ja Azure OpenAI põhiallikaid terminoloogia ja juhendite viitamiseks. Siin on mittetäielik loetelu, mida saate kasutada oma iseseisva õppimise teekonnal.
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
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{
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"original_hash": "124ad36cfe96f74038811b6e2bb93e9d",
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"translation_date": "2025-10-11T11:46:41+00:00",
|
||||
"source_file": "19-slm/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Sissejuhatus väikestesse keelemudelitesse generatiivse tehisintellekti jaoks algajatele
|
||||
Generatiivne tehisintellekt on põnev tehisintellekti valdkond, mis keskendub süsteemide loomisele, mis suudavad genereerida uut sisu. See sisu võib ulatuda tekstist ja piltidest muusika ning isegi tervete virtuaalsete keskkondadeni. Üks põnevamaid generatiivse tehisintellekti rakendusi on keelemudelite valdkonnas.
|
||||
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
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CO_OP_TRANSLATOR_METADATA:
|
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||||
"translation_date": "2025-10-11T11:22:42+00:00",
|
||||
"source_file": "20-mistral/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Mistrali mudelite kasutamine
|
||||
|
||||
## Sissejuhatus
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "4c2a0b0c738b649ef049fb99a23be661",
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||||
"translation_date": "2025-10-11T11:35:22+00:00",
|
||||
"source_file": "21-meta/README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Meta perekonna mudelitega töötamine
|
||||
|
||||
## Sissejuhatus
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "19b8d432e5ed3ab209641dd8dad643fb",
|
||||
"translation_date": "2025-10-11T11:11:23+00:00",
|
||||
"source_file": "AGENTS.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# AGENTS.md
|
||||
|
||||
## Projekti ülevaade
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "c06b12caf3c901eb3156e3dd5b0aea56",
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||||
"translation_date": "2025-10-11T11:14:00+00:00",
|
||||
"source_file": "CODE_OF_CONDUCT.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Microsofti avatud lähtekoodi käitumisjuhend
|
||||
|
||||
See projekt on omaks võtnud [Microsofti avatud lähtekoodi käitumisjuhendi](https://opensource.microsoft.com/codeofconduct/).
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "57c41f2af71001a2cff9d8eb797cb843",
|
||||
"translation_date": "2025-10-11T11:10:25+00:00",
|
||||
"source_file": "CONTRIBUTING.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
# Kaastöö
|
||||
|
||||
See projekt ootab kaastööd ja ettepanekuid. Enamik kaastöid nõuab, et nõustuksite Kaastöö Litsentsilepinguga (CLA), mis kinnitab, et teil on õigus anda meile õigused teie panuse kasutamiseks. Lisateabe saamiseks külastage <https://cla.microsoft.com>.
|
||||
|
||||
@ -1,134 +1,125 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "054860715e642de31fa8e15c6d01f2b1",
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||||
"translation_date": "2026-01-05T17:20:22+00:00",
|
||||
"source_file": "README.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
|
||||
|
||||
|
||||
### 21 õppetundi, mis õpetavad kõike, mida vajad Generatiivsete tehisintellekti rakenduste loomiseks
|
||||
### 21 õppetundi õpetavad kõike, mida peate teadma, et hakata looma generatiivseid AI-rakendusi
|
||||
|
||||
[](https://github.com/microsoft/Generative-AI-For-Beginners/blob/master/LICENSE?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://GitHub.com/microsoft/Generative-AI-For-Beginners/graphs/contributors/?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://GitHub.com/microsoft/Generative-AI-For-Beginners/graphs/contributors/?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://GitHub.com/microsoft/Generative-AI-For-Beginners/issues/?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://GitHub.com/microsoft/Generative-AI-For-Beginners/pulls/?WT.mc_id=academic-105485-koreyst)
|
||||
[](http://makeapullrequest.com?WT.mc_id=academic-105485-koreyst)
|
||||
[](http://makeapullrequest.com?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
[](https://GitHub.com/microsoft/Generative-AI-For-Beginners/watchers/?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://GitHub.com/microsoft/Generative-AI-For-Beginners/network/?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://GitHub.com/microsoft/Generative-AI-For-Beginners/watchers/?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://GitHub.com/microsoft/Generative-AI-For-Beginners/network/?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://GitHub.com/microsoft/Generative-AI-For-Beginners/stargazers/?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
### 🌐 Mitmekeelne tugi
|
||||
|
||||
#### Toetatud GitHub Action kaudu (Automaatne ja alati ajakohane)
|
||||
#### Toetatud GitHub Actioni kaudu (automaatne ja alati ajakohane)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Araabia](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgaaria](../bg/README.md) | [Birma (Myanmar)](../my/README.md) | [Hiina (Lihtsustatud)](../zh/README.md) | [Hiina (Traditsiooniline, Hongkong)](../hk/README.md) | [Hiina (Traditsiooniline, Macau)](../mo/README.md) | [Hiina (Traditsiooniline, Taiwan)](../tw/README.md) | [Horvaadi](../hr/README.md) | [Tšehhi](../cs/README.md) | [Taani](../da/README.md) | [Hollandi](../nl/README.md) | [Eesti](./README.md) | [Soome](../fi/README.md) | [Prantsuse](../fr/README.md) | [Saksa](../de/README.md) | [Kreeka](../el/README.md) | [Heebrea](../he/README.md) | [Hindi](../hi/README.md) | [Ungari](../hu/README.md) | [Indoneesia](../id/README.md) | [Itaalia](../it/README.md) | [Jaapani](../ja/README.md) | [Kannada](../kn/README.md) | [Korea](../ko/README.md) | [Leedu](../lt/README.md) | [Malai](../ms/README.md) | [Malajalami](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigeeria pidžin](../pcm/README.md) | [Norra](../no/README.md) | [Pärsia (Farsi)](../fa/README.md) | [Poola](../pl/README.md) | [Portugali (Brasiilia)](../br/README.md) | [Portugali (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Rumeenia](../ro/README.md) | [Vene](../ru/README.md) | [Serbia (kirillitsa)](../sr/README.md) | [Slovaki](../sk/README.md) | [Sloveeni](../sl/README.md) | [Hispaania](../es/README.md) | [Suahiili](../sw/README.md) | [Rootsi](../sv/README.md) | [Tagalogi (filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Tai](../th/README.md) | [Türgi](../tr/README.md) | [Ukraina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnami](../vi/README.md)
|
||||
[Araabia](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgaaria](../bg/README.md) | [Birma (Myanmar)](../my/README.md) | [Hiina (lihtsustatud)](../zh-CN/README.md) | [Hiina (traditsiooniline, Hongkong)](../zh-HK/README.md) | [Hiina (traditsiooniline, Macau)](../zh-MO/README.md) | [Hiina (traditsiooniline, Taiwan)](../zh-TW/README.md) | [Horvaadi](../hr/README.md) | [Tšehhi](../cs/README.md) | [Taani](../da/README.md) | [Hollandi](../nl/README.md) | [Eesti](./README.md) | [Soome](../fi/README.md) | [Prantsuse](../fr/README.md) | [Saksa](../de/README.md) | [Kreeka](../el/README.md) | [Heebrea](../he/README.md) | [Hindi](../hi/README.md) | [Ungari](../hu/README.md) | [Indoneesia](../id/README.md) | [Itaalia](../it/README.md) | [Jaapani](../ja/README.md) | [Kannada](../kn/README.md) | [Korea](../ko/README.md) | [Leedu](../lt/README.md) | [Malai](../ms/README.md) | [Malajalami](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigeeria pidžin](../pcm/README.md) | [Norra](../no/README.md) | [Pärsia (Farsi)](../fa/README.md) | [Poola](../pl/README.md) | [Portugali (Brasiilia)](../pt-BR/README.md) | [Portugali (Portugal)](../pt-PT/README.md) | [Pandžabi (Gurmukhi)](../pa/README.md) | [Rumeenia](../ro/README.md) | [Vene](../ru/README.md) | [Serbia (kirillitsa)](../sr/README.md) | [Slovaki](../sk/README.md) | [Sloveeni](../sl/README.md) | [Hispaania](../es/README.md) | [Suahiili](../sw/README.md) | [Rootsi](../sv/README.md) | [Tagalogi (filipino)](../tl/README.md) | [Tamili](../ta/README.md) | [Telugu](../te/README.md) | [Tai](../th/README.md) | [Türgi](../tr/README.md) | [Ukraina](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnami](../vi/README.md)
|
||||
|
||||
> **Eelistad kloonimist lokaalselt?**
|
||||
> **Eelistate kohalikku kloonimist?**
|
||||
|
||||
> See hoidla sisaldab üle 50 keele tõlget, mis suurendab olulisel määral allalaadimise mahtu. Tõlgeteta kloonimiseks kasuta harutatud checkout:
|
||||
> See hoidla sisaldab üle 50 keele tõlkeid, mis suurendab allalaadimise mahtu. Tõlgeteta kloonimiseks kasutage geringe koopia valikut:
|
||||
> ```bash
|
||||
> git clone --filter=blob:none --sparse https://github.com/microsoft/generative-ai-for-beginners.git
|
||||
> cd generative-ai-for-beginners
|
||||
> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
|
||||
> ```
|
||||
> See annab sulle kõik vajaliku kursuse lõpetamiseks palju kiiremalt.
|
||||
> See annab teile kõik vajaliku kursuse läbimiseks palju kiirema allalaadimisega.
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
# Generatiivne tehisintellekt algajatele (versioon 3) - Kursus
|
||||
# Generatiivne tehisintellekt algajatele (versioon 3) - kursus
|
||||
|
||||
Õpi Microsoft Cloud Advocates 21-õppetunnise põhjaliku kursusega generatiivsete tehisintellekti rakenduste loomise aluseid.
|
||||
Õppige generatiivsete AI-rakenduste loomise põhialuseid meie Microsoft Cloud Advocates'i 21-õppetunnise põhjaliku kursuse abil.
|
||||
|
||||
## 🌱 Alustamine
|
||||
|
||||
Selle kursuse moodustavad 21 õppetundi. Iga õppetund käsitleb oma teemat, nii et alusta sealt, kus soovid!
|
||||
Sellel kursusel on 21 õppetundi. Iga õppetund käsitleb oma teemat, nii et alustage sealt, kus soovite!
|
||||
|
||||
Õppetunnid on kas "Õpi" tüüpi, mis seletavad generatiivse tehisintellekti mõistet, või "Ehita" tüüpi, mis selgitavad mõistet ja annavad koodinäited nii **Python** kui ka **TypeScript** keeles kui võimalik.
|
||||
Õppetunnid on märgistatud kas "Õpi" õppetundidena, mis selgitavad generatiivse AI kontseptsiooni, või "Ehituse" õppetundidena, mis esitavad kontseptsiooni ja koodinäiteid nii **Pythonis** kui ka **TypeScriptis**, kui võimalik.
|
||||
|
||||
.NET arendajatele on soovitatav vaadata [Generative AI for Beginners (.NET Edition)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)!
|
||||
.NET arendajatele soovitage vaadata [Generatiivset AI-d algajatele (.NET väljaanne)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)!
|
||||
|
||||
Iga õppetunni lõpus on ka jaotis "Jätka õppimist" lisavahenditega.
|
||||
Igas õppetunnis on ka osa "Jätka õppimist" lisavahenditega.
|
||||
|
||||
## Mida vajad
|
||||
### Selle kursuse koodi käivitamiseks võid kasutada:
|
||||
- [Azure OpenAI Service](https://aka.ms/genai-beginners/azure-open-ai?WT.mc_id=academic-105485-koreyst) - **Õppetunnid:** "aoai-assignment"
|
||||
- [GitHub Marketplace Model Catalog](https://aka.ms/genai-beginners/gh-models?WT.mc_id=academic-105485-koreyst) - **Õppetunnid:** "githubmodels"
|
||||
## Mida vajate
|
||||
### Selle kursuse koodi käitamiseks võite kasutada ühte järgmistest:
|
||||
- [Azure OpenAI teenus](https://aka.ms/genai-beginners/azure-open-ai?WT.mc_id=academic-105485-koreyst) - **Õppetunnid:** "aoai-assignment"
|
||||
- [GitHub Marketplace mudelite kataloog](https://aka.ms/genai-beginners/gh-models?WT.mc_id=academic-105485-koreyst) - **Õppetunnid:** "githubmodels"
|
||||
- [OpenAI API](https://aka.ms/genai-beginners/open-ai?WT.mc_id=academic-105485-koreyst) - **Õppetunnid:** "oai-assignment"
|
||||
|
||||
- Põhiteadmised Pythonist või TypeScriptist on abiks - \*Absoluutsetele algajatele soovitame neid [Pythoni](https://aka.ms/genai-beginners/python?WT.mc_id=academic-105485-koreyst) ja [TypeScripti](https://aka.ms/genai-beginners/typescript?WT.mc_id=academic-105485-koreyst) kursuseid
|
||||
- GitHubi konto, et [forkida see kogu reposiit](https://aka.ms/genai-beginners/github?WT.mc_id=academic-105485-koreyst) enda kontole
|
||||
- Põhilised teadmised Pythonist või TypeScriptist on kasulikud - \*Täielikele algajatele soovitame neid [Python](https://aka.ms/genai-beginners/python?WT.mc_id=academic-105485-koreyst) ja [TypeScript](https://aka.ms/genai-beginners/typescript?WT.mc_id=academic-105485-koreyst) kursusi
|
||||
- GitHubi konto, et [käärida see hoidla oma GitHubi kontole](https://aka.ms/genai-beginners/github?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
Oleme loonud **[Kursuse häälestus](./00-course-setup/README.md?WT.mc_id=academic-105485-koreyst)** õppetunni, mis aitab arenduskeskkonna seadistamisel.
|
||||
Oleme loonud **[Kursuse seadistamise](./00-course-setup/README.md?WT.mc_id=academic-105485-koreyst)** õppetunni, mis aitab teil arenduskeskkonna seadistamisel.
|
||||
|
||||
Ära unusta seda *staari (🌟) panna* sellele reposiidile, et seda hiljem hõlpsam leida.
|
||||
Ärge unustage [märgistada (🌟) see hoidla](https://docs.github.com/en/get-started/exploring-projects-on-github/saving-repositories-with-stars?WT.mc_id=academic-105485-koreyst), et hiljem oleks seda lihtsam leida.
|
||||
|
||||
## 🧠 Valmis juurutamiseks?
|
||||
|
||||
Kui otsid keerukamaid koodinäiteid, vaata meie [generatiivse tehisintellekti koodinäidete kogumikku](https://aka.ms/genai-beg-code?WT.mc_id=academic-105485-koreyst) nii **Pythonis** kui ka **TypeScriptis**.
|
||||
Kui otsite täiustatud koodinäiteid, vaadake meie [generatiivse AI koodinäidiste kogu](https://aka.ms/genai-beg-code?WT.mc_id=academic-105485-koreyst), mis sisaldab nii **Pythoni** kui ka **TypeScripti** näiteid.
|
||||
|
||||
## 🗣️ Kohtuge teiste õppijatega, saa tuge
|
||||
## 🗣️ Tutvuge teiste õppuritega, hankige tuge
|
||||
|
||||
Liitu meie ametliku [Azure AI Foundry Discord'i serveriga](https://aka.ms/genai-discord?WT.mc_id=academic-105485-koreyst), et kohtuda teiste kursusel osalejatega ja saada tuge.
|
||||
Liituge meie [ametliku Azure AI Foundry Discord serveriga](https://aka.ms/genai-discord?WT.mc_id=academic-105485-koreyst), et kohtuda ja suhelda teiste selle kursuse õppuritega ning saada tuge.
|
||||
|
||||
Esita küsimusi või jaga tootearvamusi meie [Azure AI Foundry arendajate foorumis](https://aka.ms/azureaifoundry/forum) GitHubis.
|
||||
Esitage küsimusi või jagage toodete tagasisidet meie [Azure AI Foundry arendajate foorumis](https://aka.ms/azureaifoundry/forum) GitHubis.
|
||||
|
||||
## 🚀 Ehita idufirmat?
|
||||
## 🚀 Startup’i ehitamine?
|
||||
|
||||
Külasta [Microsoft for Startups](https://www.microsoft.com/startups), et teada saada, kuidas alustada ehitamist Azure krediitidega juba täna.
|
||||
Külastage [Microsoft for Startups](https://www.microsoft.com/startups), et teada saada, kuidas alustada ehitamist Azure krediitide abil juba täna.
|
||||
|
||||
## 🙏 Soovid aidata?
|
||||
## 🙏 Tahate aidata?
|
||||
|
||||
Kas sul on ettepanekuid või oled leidnud õigekirja- või koodivigu? [Tõsta probleem](https://github.com/microsoft/generative-ai-for-beginners/issues?WT.mc_id=academic-105485-koreyst) või [Loo tõmbepäring](https://github.com/microsoft/generative-ai-for-beginners/pulls?WT.mc_id=academic-105485-koreyst)
|
||||
Kas teil on ettepanekuid või leiate õigekirja- või koodivigu? [Tõstke probleem](https://github.com/microsoft/generative-ai-for-beginners/issues?WT.mc_id=academic-105485-koreyst) või [tehke tõmbepäring](https://github.com/microsoft/generative-ai-for-beginners/pulls?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## 📂 Igas õppetunnis sisaldub:
|
||||
## 📂 Igas õppetunnis on:
|
||||
|
||||
- Lühike video tutvustus teemale
|
||||
- Kirjalik õppetund README-s
|
||||
- Python'i ja TypeScript'i koodinäited, mis toetavad Azure OpenAI ja OpenAI API-t
|
||||
- Lingid lisamaterjalidele oma õpetuse jätkamiseks
|
||||
- Lühike videointro teemale
|
||||
- Kirjalik õppetund README failis
|
||||
- Pythoni ja TypeScripti koodinäited, mis toetavad Azure OpenAI ja OpenAI API-d
|
||||
- Lingid lisamaterjalidele õppimise jätkamiseks
|
||||
|
||||
## 🗃️ Õppetunnid
|
||||
|
||||
| # | **Õppetunni link** | **Kirjeldus** | **Video** | **Lisõppematerjalid** |
|
||||
| --- | -------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------- | ------------------------------------------------------------------------------ |
|
||||
| 00 | [Kursuse häälestus](./00-course-setup/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Kuidas seadistada oma arenduskeskkond | Video tuleb varsti | [Lisateave](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 01 | [Sissejuhatus generatiivsesse AI-sse ja LLM-idesse](./01-introduction-to-genai/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Mõista, mis on generatiivne AI ja kuidas toimivad suured keelemudelid (LLM) | [Video](https://aka.ms/gen-ai-lesson-1-gh?WT.mc_id=academic-105485-koreyst) | [Lisateave](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 02 | [Erinevate LLM-ide uurimine ja võrdlemine](./02-exploring-and-comparing-different-llms/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Kuidas valida oma kasutusjuhtumile õiget mudelit | [Video](https://aka.ms/gen-ai-lesson2-gh?WT.mc_id=academic-105485-koreyst) | [Lisateave](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 03 | [Generatiivse AI kasutamine vastutustundlikult](./03-using-generative-ai-responsibly/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Kuidas ehitada generatiivseid AI rakendusi vastutustundlikult | [Video](https://aka.ms/gen-ai-lesson3-gh?WT.mc_id=academic-105485-koreyst) | [Lisateave](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 04 | [Põhiteadmised promptide koostamisest](./04-prompt-engineering-fundamentals/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Käed-küljes promptide koostamise parimad praktikad | [Video](https://aka.ms/gen-ai-lesson4-gh?WT.mc_id=academic-105485-koreyst) | [Lisateave](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 05 | [Täpsemate päringute loomine](./05-advanced-prompts/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Kuidas kasutada päringute insenertehnikaid, mis parandavad sinu päringute tulemusi. | [Video](https://aka.ms/gen-ai-lesson5-gh?WT.mc_id=academic-105485-koreyst) | [Loe lähemalt](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 06 | [Teksti genereerimise rakenduste loomine](./06-text-generation-apps/README.md?WT.mc_id=academic-105485-koreyst) | **Ehita:** Teksti genereerimise rakendus, kasutades Azure OpenAI / OpenAI API-d | [Video](https://aka.ms/gen-ai-lesson6-gh?WT.mc_id=academic-105485-koreyst) | [Loe lähemalt](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 07 | [Vestlusrakenduste loomine](./07-building-chat-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Ehita:** Meetodid vestlusrakenduste tõhusaks loomise ja integreerimise jaoks | [Video](https://aka.ms/gen-ai-lessons7-gh?WT.mc_id=academic-105485-koreyst) | [Loe lähemalt](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 08 | [Otsingurakenduste ja vektandmebaaside loomine](./08-building-search-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Ehita:** Otsingurakendus, mis kasutab manuseid andmete otsimiseks | [Video](https://aka.ms/gen-ai-lesson8-gh?WT.mc_id=academic-105485-koreyst) | [Loe lähemalt](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 09 | [Pildigeneratsiooni rakenduste loomine](./09-building-image-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Ehita:** Pildigeneratsiooni rakendus | [Video](https://aka.ms/gen-ai-lesson9-gh?WT.mc_id=academic-105485-koreyst) | [Loe lähemalt](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 10 | [Madala koodiga tehisintellekti rakenduste loomine](./10-building-low-code-ai-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Ehita:** Genereeriva tehisintellekti rakendus, kasutades madala koodi tööriistu | [Video](https://aka.ms/gen-ai-lesson10-gh?WT.mc_id=academic-105485-koreyst) | [Loe lähemalt](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 11 | [Väliste rakenduste integreerimine funktsioonikõnede abil](./11-integrating-with-function-calling/README.md?WT.mc_id=academic-105485-koreyst) | **Ehita:** Mis on funktsioonikõned ja nende kasutusvõimalused rakendustes | [Video](https://aka.ms/gen-ai-lesson11-gh?WT.mc_id=academic-105485-koreyst) | [Loe lähemalt](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 12 | [Kasutajakogemuse (UX) kujundamine tehisintellekti rakendustele](./12-designing-ux-for-ai-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Kuidas rakendada kasutajakogemuse kujundamise põhimõtteid genereeriva tehisintellekti rakenduste arendamisel | [Video](https://aka.ms/gen-ai-lesson12-gh?WT.mc_id=academic-105485-koreyst) | [Loe lähemalt](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 13 | [Sinu genereerivate tehisintellekti rakenduste turvalisus](./13-securing-ai-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Ohud ja riskid tehisintellektisüsteemidele ning meetodid nende süsteemide kaitsmiseks | [Video](https://aka.ms/gen-ai-lesson13-gh?WT.mc_id=academic-105485-koreyst) | [Loe lähemalt](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 14 | [Genereeriva tehisintellekti rakenduse elutsükkel](./14-the-generative-ai-application-lifecycle/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Tööriistad ja mõõdikud LLM-i elutsükli ja LLMOpsi haldamiseks | [Video](https://aka.ms/gen-ai-lesson14-gh?WT.mc_id=academic-105485-koreyst) | [Loe lähemalt](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 15 | [Andmete tagasitoomisega parendatud genereerimine (RAG) ja vektandmebaasid](./15-rag-and-vector-databases/README.md?WT.mc_id=academic-105485-koreyst) | **Ehita:** Rakendus, mis kasutab RAG raamistikku manuste tagasitoomiseks vektandmebaasidest | [Video](https://aka.ms/gen-ai-lesson15-gh?WT.mc_id=academic-105485-koreyst) | [Loe lähemalt](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 16 | [Avatud lähtekoodiga mudelid ja Hugging Face](./16-open-source-models/README.md?WT.mc_id=academic-105485-koreyst) | **Ehita:** Rakendus, kasutades Hugging Face’is saadaolevaid avatud lähtekoodiga mudeleid | [Video](https://aka.ms/gen-ai-lesson16-gh?WT.mc_id=academic-105485-koreyst) | [Loe lähemalt](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 17 | [Tehisintellekti agendid](./17-ai-agents/README.md?WT.mc_id=academic-105485-koreyst) | **Ehita:** Rakendus, kasutades tehisintellekti agentide raamistikku | [Video](https://aka.ms/gen-ai-lesson17-gh?WT.mc_id=academic-105485-koreyst) | [Loe lähemalt](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 18 | [LLM-ide peenhäälestamine](./18-fine-tuning/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Mida, miks ja kuidas peenhäälestada LLM-e | [Video](https://aka.ms/gen-ai-lesson18-gh?WT.mc_id=academic-105485-koreyst) | [Loe lähemalt](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 19 | [Väikeste keeledemudelitega ehitamine](./19-slm/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Väikeste keeledemudelitega ehitamise eelised | Video tuleb peagi | [Loe lähemalt](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 20 | [Mistral mudelitega ehitamine](./20-mistral/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Mistral perekonna mudelite omadused ja erinevused | Video tuleb peagi | [Loe lähemalt](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 21 | [Meta mudelitega ehitamine](./21-meta/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Meta perekonna mudelite omadused ja erinevused | Video tuleb peagi | [Loe lähemalt](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| # | **Õppetunni link** | **Kirjeldus** | **Video** | **Lisalugemine** |
|
||||
| --- | -------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------- | ------------------------------------------------------------------------------ |
|
||||
| 00 | [Kursuse seadistamine](./00-course-setup/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Kuidas seadistada oma arenduskeskkond | Video tulekul | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 01 | [Sissejuhatus generatiivsesse AI-sse ja LLM-idesse](./01-introduction-to-genai/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Mõista, mis on generatiivne AI ja kuidas töötavad suured keelemudelid (LLM-id). | [Video](https://aka.ms/gen-ai-lesson-1-gh?WT.mc_id=academic-105485-koreyst) | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 02 | [Erinevate LLM-ide uurimine ja võrdlemine](./02-exploring-and-comparing-different-llms/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Kuidas valida sobiv mudel oma kasutusjuhtumi jaoks | [Video](https://aka.ms/gen-ai-lesson2-gh?WT.mc_id=academic-105485-koreyst) | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 03 | [Generatiivse AI vastutustundlik kasutamine](./03-using-generative-ai-responsibly/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Kuidas luua generatiivseid AI-rakendusi vastutustundlikult | [Video](https://aka.ms/gen-ai-lesson3-gh?WT.mc_id=academic-105485-koreyst) | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 04 | [Põhjalik ülevaade promptide inseneriteaduse alustest](./04-prompt-engineering-fundamentals/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Praktilised promptide inseneri parimad tavad | [Video](https://aka.ms/gen-ai-lesson4-gh?WT.mc_id=academic-105485-koreyst) | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 05 | [Täiustatud promptide loomine](./05-advanced-prompts/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Kuidas rakendada promptide inseneritehnikaid, mis parandavad promptide tulemusi. | [Video](https://aka.ms/gen-ai-lesson5-gh?WT.mc_id=academic-105485-koreyst) | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 06 | [Teksti genereerimise rakenduste loomine](./06-text-generation-apps/README.md?WT.mc_id=academic-105485-koreyst) | **Loo:** Tekstigeneratsiooni rakendus Azure OpenAI / OpenAI API abil | [Video](https://aka.ms/gen-ai-lesson6-gh?WT.mc_id=academic-105485-koreyst) | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 07 | [Vestlusrakenduste loomine](./07-building-chat-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Loo:** Efektiivsed meetodid vestlusrakenduste ehitamiseks ja integreerimiseks. | [Video](https://aka.ms/gen-ai-lessons7-gh?WT.mc_id=academic-105485-koreyst) | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 08 | [Otsingurakenduste ja vektorandmebaaside loomine](./08-building-search-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Loo:** Otsingurakendus, mis kasutab manuseid andmete otsimiseks. | [Video](https://aka.ms/gen-ai-lesson8-gh?WT.mc_id=academic-105485-koreyst) | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 09 | [Pildigeneratsiooni rakenduste loomine](./09-building-image-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Loo:** Pildigeneratsiooni rakendus | [Video](https://aka.ms/gen-ai-lesson9-gh?WT.mc_id=academic-105485-koreyst) | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 10 | [Madalakoodi tehisintellekti rakenduste loomine](./10-building-low-code-ai-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Loo:** Generatiivne tehisintellekti rakendus, kasutades madalakoodi tööriistu | [Video](https://aka.ms/gen-ai-lesson10-gh?WT.mc_id=academic-105485-koreyst) | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 11 | [Väline rakenduste integreerimine funktsioonikõnede abil](./11-integrating-with-function-calling/README.md?WT.mc_id=academic-105485-koreyst) | **Loo:** Mis on funktsioonikõned ja kuidas neid rakendustes kasutatakse | [Video](https://aka.ms/gen-ai-lesson11-gh?WT.mc_id=academic-105485-koreyst) | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 12 | [UX kujundamine tehisintellekti rakendustele](./12-designing-ux-for-ai-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Kuidas rakendada UX disaini põhimõtteid generatiivsete AI rakenduste arendamisel | [Video](https://aka.ms/gen-ai-lesson12-gh?WT.mc_id=academic-105485-koreyst) | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 13 | [Generatiivsete AI rakenduste turvamine](./13-securing-ai-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Ohud ja riskid AI süsteemidele ning meetodid nende süsteemide turvamiseks | [Video](https://aka.ms/gen-ai-lesson13-gh?WT.mc_id=academic-105485-koreyst) | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 14 | [Generatiivsete AI rakenduste elutsükkel](./14-the-generative-ai-application-lifecycle/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Tööriistad ja mõõdikud LLM elutsükli ja LLMOps haldamiseks | [Video](https://aka.ms/gen-ai-lesson14-gh?WT.mc_id=academic-105485-koreyst) | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 15 | [Tagasitoomisel põhinev generatsioon (RAG) ja vektorandmebaasid](./15-rag-and-vector-databases/README.md?WT.mc_id=academic-105485-koreyst) | **Loo:** Rakendus, mis kasutab RAG raamistikku manuste pärimiseks vektorandmebaasidest | [Video](https://aka.ms/gen-ai-lesson15-gh?WT.mc_id=academic-105485-koreyst) | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 16 | [Avatud lähtekoodiga mudelid ja Hugging Face](./16-open-source-models/README.md?WT.mc_id=academic-105485-koreyst) | **Loo:** Rakendus, mis kasutab Hugging Face'is saadaolevaid avatud lähtekoodiga mudeleid | [Video](https://aka.ms/gen-ai-lesson16-gh?WT.mc_id=academic-105485-koreyst) | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 17 | [AI agentide loomine](./17-ai-agents/README.md?WT.mc_id=academic-105485-koreyst) | **Loo:** Rakendus, mis kasutab AI agentide raamistikku | [Video](https://aka.ms/gen-ai-lesson17-gh?WT.mc_id=academic-105485-koreyst) | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 18 | [LLM-ide peenhäälestamine](./18-fine-tuning/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Mis, miks ja kuidas peenhäälestada LLM-e | [Video](https://aka.ms/gen-ai-lesson18-gh?WT.mc_id=academic-105485-koreyst) | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 19 | [Väikeste keelemudelite (SLM) kasutamine](./19-slm/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Väikeste keelemudelitega ehitamise eelised | Video Varsti Tulekul | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 20 | [Mistral mudelite kasutamine](./20-mistral/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Mistral perekonna mudelite omadused ja erinevused | Video Varsti Tulekul | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 21 | [Meta mudelite kasutamine](./21-meta/README.md?WT.mc_id=academic-105485-koreyst) | **Õpi:** Meta perekonna mudelite omadused ja erinevused | Video Varsti Tulekul | [Loe lisaks](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
|
||||
### 🌟 Erilised tänusõnad
|
||||
### 🌟 Eriti suur tänu
|
||||
|
||||
Suur tänu [**John Azizile**](https://www.linkedin.com/in/john0isaac/), kes lõi kõik GitHub Actions ja töövood
|
||||
|
||||
[**Bernhard Merkle**](https://www.linkedin.com/in/bernhard-merkle-738b73/)-le, kes tegi olulisi panuseid iga õppetunni parendamiseks õppija ja koodi kogemuses.
|
||||
[**Bernhard Merklele**](https://www.linkedin.com/in/bernhard-merkle-738b73/), kes tegi olulisi panuseid iga õppetunni parandamiseks õppija ja koodi kogemuse osas.
|
||||
|
||||
## 🎒 Teised kursused
|
||||
## 🎒 Muud kursused
|
||||
|
||||
Meie meeskond toodab ka teisi kursuseid! Vaata:
|
||||
Meie meeskond loob ka teisi kursuseid! Vaata lähemalt:
|
||||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
@ -141,48 +132,48 @@ Meie meeskond toodab ka teisi kursuseid! Vaata:
|
||||
[](https://github.com/microsoft/AZD-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/edgeai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mcp-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/ai-agents-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Genereeriva tehisintellekti seeria
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
### Generatiivse AI sari
|
||||
[](https://github.com/microsoft/generative-ai-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[-9333EA?style=for-the-badge&labelColor=E5E7EB&color=9333EA)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)
|
||||
[-C084FC?style=for-the-badge&labelColor=E5E7EB&color=C084FC)](https://github.com/microsoft/generative-ai-for-beginners-java?WT.mc_id=academic-105485-koreyst)
|
||||
[-E879F9?style=for-the-badge&labelColor=E5E7EB&color=E879F9)](https://github.com/microsoft/generative-ai-with-javascript?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Põhiõpe
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ml-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/datascience-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/ai-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/Security-101?WT.mc_id=academic-96948-sayoung)
|
||||
[](https://aka.ms/webdev-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://aka.ms/iot-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
### Copiloti sari
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
### Copilot seeria
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/CopilotAdventures?WT.mc_id=academic-105485-koreyst)
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES END -->
|
||||
|
||||
## Abi saamine
|
||||
|
||||
Kui takerdu või sul on küsimusi AI rakenduste loomise kohta, ühine teiste õppijate ja kogenud arendajatega MCP aruteludes. See on toetav kogukond, kus küsimused on teretulnud ja teadmised jagatakse vabalt.
|
||||
Kui takerdud või sul on küsimusi AI-rakenduste loomise kohta, liitu teiste õppijate ja kogenud arendajatega MCP aruteludes. See on toetav kogukond, kus küsimused on teretulnud ja teadmisi jagatakse vabalt.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
Kui sul on toote tagasisidet või ehitamisel vigu, külasta:
|
||||
Kui sul on tootepalautust või ehitamise ajal tõrkeid, külasta:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Vastutühing**:
|
||||
See dokument on tõlgitud kasutades tehisintellektil põhinevat tõlketeenust [Co-op Translator](https://github.com/Azure/co-op-translator). Kuigi püüame olla täpsed, palun arvestage, et automaatsed tõlked võivad sisaldada vigu või ebatäpsusi. Originaaldokument selles keeles tuleks pidada autoriteetseks allikaks. Olulise teabe puhul soovitatakse kasutada professionaalset inimtõlget. Me ei vastuta selle tõlke kasutamisest tingitud arusaamatuste või valesti tõlgendamise eest.
|
||||
**Vastutusest loobumine**:
|
||||
See dokument on tõlgitud tehisintellekti tõlketeenuse [Co-op Translator](https://github.com/Azure/co-op-translator) abil. Kuigi me püüdleme täpsuse poole, palun arvestada, et automaatsed tõlked võivad sisaldada vigu või ebatäpsusi. Originaaldokument selle emakeeles tuleks pidada autoriteetseks allikaks. Kriitilise teabe puhul soovitatakse kasutada professionaalset inimtõlget. Me ei vastuta selle tõlke kasutamisest tulenevate arusaamatuste või valesti mõistmiste eest.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
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|
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|
||||
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|
||||
"source_file": "SECURITY.md",
|
||||
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|
||||
}
|
||||
-->
|
||||
<!-- BEGIN MICROSOFT SECURITY.MD V0.0.8 BLOCK -->
|
||||
|
||||
## Turvalisus
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
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{
|
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|
||||
"source_file": "docs/_navbar.md",
|
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"language_code": "et"
|
||||
}
|
||||
-->
|
||||
<!-- _navbar.md -->
|
||||
|
||||
* Vali keel
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
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{
|
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|
||||
"source_file": "docs/_sidebar.md",
|
||||
"language_code": "et"
|
||||
}
|
||||
-->
|
||||
- Alustamine
|
||||
- [Sissejuhatus generatiivse tehisintellekti maailma](../01-introduction-to-genai/README.md?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
|
||||
230
translations/pcm/.co-op-translator.json
Normal file
230
translations/pcm/.co-op-translator.json
Normal file
@ -0,0 +1,230 @@
|
||||
{
|
||||
"00-course-setup/01-setup-cloud.md": {
|
||||
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|
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|
||||
"source_file": "00-course-setup/01-setup-cloud.md",
|
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"language_code": "pcm"
|
||||
},
|
||||
"00-course-setup/02-setup-local.md": {
|
||||
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|
||||
"translation_date": "2025-12-19T18:15:38+00:00",
|
||||
"source_file": "00-course-setup/02-setup-local.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"00-course-setup/03-providers.md": {
|
||||
"original_hash": "0b5b016b0eb8a1cef2e3097620d8aa23",
|
||||
"translation_date": "2025-12-19T18:14:39+00:00",
|
||||
"source_file": "00-course-setup/03-providers.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"00-course-setup/README.md": {
|
||||
"original_hash": "578a2d20d79cbe5a33eac32d4eabb9b0",
|
||||
"translation_date": "2025-11-12T09:03:31+00:00",
|
||||
"source_file": "00-course-setup/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"01-introduction-to-genai/README.md": {
|
||||
"original_hash": "bfb7901bdbece1ba3e9f35c400ca33e8",
|
||||
"translation_date": "2025-11-12T08:51:54+00:00",
|
||||
"source_file": "01-introduction-to-genai/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"02-exploring-and-comparing-different-llms/README.md": {
|
||||
"original_hash": "6b7629b8ee4d7d874a27213e903d86a7",
|
||||
"translation_date": "2025-11-12T09:06:48+00:00",
|
||||
"source_file": "02-exploring-and-comparing-different-llms/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"03-using-generative-ai-responsibly/README.md": {
|
||||
"original_hash": "4d57fad773cbeb69c5dd62e65c34200d",
|
||||
"translation_date": "2025-11-12T08:55:57+00:00",
|
||||
"source_file": "03-using-generative-ai-responsibly/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"04-prompt-engineering-fundamentals/README.md": {
|
||||
"original_hash": "0135e6c271f3ece8699050d4debbce88",
|
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|
||||
"source_file": "04-prompt-engineering-fundamentals/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"05-advanced-prompts/README.md": {
|
||||
"original_hash": "b2651fb16bcfbc62b8e518751ed90fdb",
|
||||
"translation_date": "2025-11-12T09:00:13+00:00",
|
||||
"source_file": "05-advanced-prompts/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"06-text-generation-apps/README.md": {
|
||||
"original_hash": "df027997f1448323d6159b78a1b669bf",
|
||||
"translation_date": "2025-11-12T08:57:43+00:00",
|
||||
"source_file": "06-text-generation-apps/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"07-building-chat-applications/README.md": {
|
||||
"original_hash": "a5308963a56cfbad2d73b0fa99fe84b3",
|
||||
"translation_date": "2025-11-12T09:01:20+00:00",
|
||||
"source_file": "07-building-chat-applications/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"08-building-search-applications/README.md": {
|
||||
"original_hash": "58953c08b8ba7073b836d4270ea0fe86",
|
||||
"translation_date": "2025-11-12T08:55:18+00:00",
|
||||
"source_file": "08-building-search-applications/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"08-building-search-applications/scripts/README.md": {
|
||||
"original_hash": "0d69f2d5814a698d3de5d0235940b5ae",
|
||||
"translation_date": "2025-11-12T08:55:47+00:00",
|
||||
"source_file": "08-building-search-applications/scripts/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"09-building-image-applications/README.md": {
|
||||
"original_hash": "238cde5c90363d70ecc939569378da51",
|
||||
"translation_date": "2025-11-12T09:01:59+00:00",
|
||||
"source_file": "09-building-image-applications/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"10-building-low-code-ai-applications/README.md": {
|
||||
"original_hash": "846ac8e3b7dcfb697d3309fec05f0fea",
|
||||
"translation_date": "2025-11-12T08:52:20+00:00",
|
||||
"source_file": "10-building-low-code-ai-applications/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"10-building-low-code-ai-applications/assignment.md": {
|
||||
"original_hash": "d41d8cd98f00b204e9800998ecf8427e",
|
||||
"translation_date": "2026-01-29T16:57:40+00:00",
|
||||
"source_file": "10-building-low-code-ai-applications/assignment.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"11-integrating-with-function-calling/README.md": {
|
||||
"original_hash": "f6f84f9ef2d066cd25850cab93580a50",
|
||||
"translation_date": "2025-11-12T08:53:31+00:00",
|
||||
"source_file": "11-integrating-with-function-calling/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"12-designing-ux-for-ai-applications/README.md": {
|
||||
"original_hash": "78bbeed50fd4dc9fdee931f5daf98cb3",
|
||||
"translation_date": "2025-11-12T09:09:04+00:00",
|
||||
"source_file": "12-designing-ux-for-ai-applications/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"13-securing-ai-applications/README.md": {
|
||||
"original_hash": "a2faf8ee7a0b851efa647a19788f1e5b",
|
||||
"translation_date": "2025-11-12T09:04:45+00:00",
|
||||
"source_file": "13-securing-ai-applications/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"14-the-generative-ai-application-lifecycle/README.md": {
|
||||
"original_hash": "df44972d5575ea8cef3c52ee31696d04",
|
||||
"translation_date": "2025-12-19T18:13:53+00:00",
|
||||
"source_file": "14-the-generative-ai-application-lifecycle/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"15-rag-and-vector-databases/README.md": {
|
||||
"original_hash": "2210a0466c812d9defc4df2d9a709ff9",
|
||||
"translation_date": "2026-01-18T19:44:10+00:00",
|
||||
"source_file": "15-rag-and-vector-databases/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"15-rag-and-vector-databases/data/frameworks.md": {
|
||||
"original_hash": "b5466bcedc3c75aa35476270362f626a",
|
||||
"translation_date": "2025-11-12T08:51:13+00:00",
|
||||
"source_file": "15-rag-and-vector-databases/data/frameworks.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"15-rag-and-vector-databases/data/own_framework.md": {
|
||||
"original_hash": "df98b2c59f87d8543135301e87969f70",
|
||||
"translation_date": "2025-11-12T08:51:38+00:00",
|
||||
"source_file": "15-rag-and-vector-databases/data/own_framework.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"15-rag-and-vector-databases/data/perceptron.md": {
|
||||
"original_hash": "59021c5f419d3feda19075910a74280a",
|
||||
"translation_date": "2025-11-12T08:51:28+00:00",
|
||||
"source_file": "15-rag-and-vector-databases/data/perceptron.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"16-open-source-models/README.md": {
|
||||
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|
||||
"translation_date": "2025-12-19T18:13:11+00:00",
|
||||
"source_file": "16-open-source-models/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"17-ai-agents/README.md": {
|
||||
"original_hash": "8e8d1f6a63da606af7176a87ff8e92b6",
|
||||
"translation_date": "2025-11-12T08:59:09+00:00",
|
||||
"source_file": "17-ai-agents/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"18-fine-tuning/README.md": {
|
||||
"original_hash": "3772dcd23a98e2010f53ce8b9c583631",
|
||||
"translation_date": "2026-01-18T19:43:09+00:00",
|
||||
"source_file": "18-fine-tuning/README.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
"18-fine-tuning/RESOURCES.md": {
|
||||
"original_hash": "c2f423d1402f71ca3869ec135bb77d16",
|
||||
"translation_date": "2025-11-12T09:08:38+00:00",
|
||||
"source_file": "18-fine-tuning/RESOURCES.md",
|
||||
"language_code": "pcm"
|
||||
},
|
||||
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|
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|
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|
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|
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|
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|
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|
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|
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"AGENTS.md": {
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|
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|
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|
||||
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|
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"CODE_OF_CONDUCT.md": {
|
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|
||||
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|
||||
"source_file": "CODE_OF_CONDUCT.md",
|
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|
||||
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|
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|
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|
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|
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|
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|
||||
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|
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|
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|
||||
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|
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|
||||
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|
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|
||||
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|
||||
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|
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|
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|
||||
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|
||||
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|
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|
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|
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|
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|
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|
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|
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|
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|
||||
}
|
||||
@ -1,12 +1,3 @@
|
||||
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|
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|
||||
}
|
||||
-->
|
||||
# Cloud Setup ☁️ – GitHub Codespaces
|
||||
|
||||
**Use dis guide if you no wan install anytin for ya computer.**
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
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|
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|
||||
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|
||||
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|
||||
-->
|
||||
# Local Setup 🖥️
|
||||
|
||||
**Use dis guide if you prefer to run everything for your own laptop.**
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
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|
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"source_file": "00-course-setup/03-providers.md",
|
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|
||||
}
|
||||
-->
|
||||
# Choosing & Configuring an LLM Provider 🔑
|
||||
|
||||
Assignments **fit** also dey setup to work against one or more Large Language Model (LLM) deployments through one supported service provider like OpenAI, Azure or Hugging Face. Dem dey provide _hosted endpoint_ (API) wey we fit access programmatically with the correct credentials (API key or token). For this course, we go talk about these providers:
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
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|
||||
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|
||||
-->
|
||||
# How to Start Dis Course
|
||||
|
||||
We dey very happy say you wan start dis course and we dey look forward to wetin you go fit create wit Generative AI!
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
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|
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|
||||
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|
||||
-->
|
||||
# Introduction to Generative AI and Large Language Models
|
||||
|
||||
[](https://youtu.be/lFXQkBvEe0o?si=6ZBcQTwLJJDpnX0K)
|
||||
|
||||
@ -1,12 +1,3 @@
|
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|
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|
||||
}
|
||||
-->
|
||||
# Exploring and comparing different LLMs
|
||||
|
||||
[](https://youtu.be/KIRUeDKscfI?si=8BHX1zvwzQBn-PlK)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
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|
||||
}
|
||||
-->
|
||||
# How to Use Generative AI Well
|
||||
|
||||
[](https://youtu.be/YOp-e1GjZdA?si=7Wv4wu3x44L1DCVj)
|
||||
|
||||
@ -1,12 +1,3 @@
|
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|
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|
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-->
|
||||
# Prompt Engineering Fundamentals
|
||||
|
||||
[](https://youtu.be/GElCu2kUlRs?si=qrXsBvXnCW12epb8)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
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|
||||
"language_code": "pcm"
|
||||
}
|
||||
-->
|
||||
# How to Take Advanced Steps for Prompts
|
||||
|
||||
[](https://youtu.be/BAjzkaCdRok?si=NmUIyRf7-cDgbjtt)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
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"source_file": "06-text-generation-apps/README.md",
|
||||
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|
||||
}
|
||||
-->
|
||||
# How to Build Text Generation Apps
|
||||
|
||||
[](https://youtu.be/0Y5Luf5sRQA?si=t_xVg0clnAI4oUFZ)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
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"source_file": "07-building-chat-applications/README.md",
|
||||
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|
||||
}
|
||||
-->
|
||||
# How to Build Chat App Wey Use Generative AI
|
||||
|
||||
[](https://youtu.be/R9V0ZY1BEQo?si=IHuU-fS9YWT8s4sA)
|
||||
|
||||
@ -1,12 +1,3 @@
|
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"source_file": "08-building-search-applications/README.md",
|
||||
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|
||||
}
|
||||
-->
|
||||
# How to Build Search Application
|
||||
|
||||
[](https://youtu.be/W0-nzXjOjr0?si=GcsqiTTvd7RKbo7V)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
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|
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|
||||
}
|
||||
-->
|
||||
# How to prepare transcription data
|
||||
|
||||
Dis script wey go help prepare transcription data go download YouTube video transcript and arrange am make e fit work well with Semantic Search wey dey use OpenAI Embeddings and Functions sample.
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
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|
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|
||||
}
|
||||
-->
|
||||
# How to Build App Wey Dey Generate Image
|
||||
|
||||
[](https://youtu.be/B5VP0_J7cs8?si=5P3L5o7F_uS_QcG9)
|
||||
|
||||
@ -1,12 +1,3 @@
|
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|
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|
||||
}
|
||||
-->
|
||||
# How to Build Low Code AI Apps
|
||||
|
||||
[](https://youtu.be/1vzq3Nd8GBA?si=h6LHWJXdmqf6mhDg)
|
||||
|
||||
@ -1,12 +1,3 @@
|
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|
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|
||||
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|
||||
-->
|
||||
# How to join function call
|
||||
|
||||
[](https://youtu.be/DgUdCLX8qYQ?si=f1ouQU5HQx6F8Gl2)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
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|
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|
||||
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|
||||
-->
|
||||
# Designing UX for AI Applications
|
||||
|
||||
[](https://youtu.be/VKbCejSICA8?si=MKj7GQYHfXRZyWW6)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
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|
||||
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|
||||
}
|
||||
-->
|
||||
# How to Protect Your Generative AI Apps
|
||||
|
||||
[](https://youtu.be/m0vXwsx5DNg?si=TYkr936GMKz15K0L)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
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|
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|
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|
||||
-->
|
||||
[](https://youtu.be/ewtQY_RJrzs?si=dyJ2bjiljH7UUHCh)
|
||||
|
||||
# Di Generative AI Application Lifecycle
|
||||
|
||||
@ -1,15 +1,6 @@
|
||||
<!--
|
||||
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|
||||
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|
||||
-->
|
||||
# Retrieval Augmented Generation (RAG) and Vector Databases
|
||||
|
||||
[](https://youtu.be/4l8zhHUBeyI?si=BmvDmL1fnHtgQYkL)
|
||||
[](https://youtu.be/4l8zhHUBeyI?si=BmvDmL1fnHtgQYkL)
|
||||
|
||||
For di search applications lesson, we learn small how to integrate your own data inside Large Language Models (LLMs). For dis lesson, we go talk more about how to ground your data for your LLM application, how di process dey work and di methods to store data, including both embeddings and text.
|
||||
|
||||
@ -53,7 +44,7 @@ LLM powered chatbot dey process user prompts to generate answers. E join dey int
|
||||
|
||||
### How RAGs (Retrieval Augmented Generation) dey work
|
||||
|
||||
|
||||
|
||||
|
||||
Make we suppose you want deploy one chatbot wey dey create quizzes from your notes, you go need connection to di knowledge base. Na here RAG go help. RAGs dey operate like dis:
|
||||
|
||||
@ -65,7 +56,7 @@ Make we suppose you want deploy one chatbot wey dey create quizzes from your not
|
||||
|
||||
- **Augmented Generation:** di LLM go improve im answer based on di data wey dem retrieve. E go make di answer no only dey based on pre-trained data but also di info from di added context. Di data wey dem pull go add to how LLM dey answer. LLM go then return answer give di user.
|
||||
|
||||
|
||||
|
||||
|
||||
Di architecture for RAGs dey use transformers wey get two parts: encoder and decoder. For example, if user ask question, di input text 'encrypted' into vectors wey get di meaning of words then di vectors dey 'decoded' into our document index and e go generate new text based on di user query. Di LLM dey use encoder-decoder model to generate output.
|
||||
|
||||
@ -128,7 +119,7 @@ def split_text(text, max_length, min_length):
|
||||
After you chunk am, you fit embed your text using different embedding models. Some models wey you fit use be: word2vec, ada-002 by OpenAI, Azure Computer Vision and plenty more. How you go select model depend on di languages you dey use, di content type encoded (text/images/audio), how big di input fit be and how long the embedding output be.
|
||||
|
||||
Example of embedded text using OpenAI's `text-embedding-ada-002` model be:
|
||||
|
||||
|
||||
|
||||
## Retrieval and Vector Search
|
||||
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
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|
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|
||||
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|
||||
-->
|
||||
# Neural Network Frameworks
|
||||
|
||||
As we don learn already, to fit train neural networks well well, we need do two things:
|
||||
|
||||
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|
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|
||||
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|
||||
-->
|
||||
# Introduction to Neural Networks. Multi-Layered Perceptron
|
||||
|
||||
For di last section, you don learn about di simplest neural network model - one-layered perceptron, wey be linear two-class classification model.
|
||||
|
||||
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|
||||
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|
||||
"translation_date": "2025-11-12T08:51:28+00:00",
|
||||
"source_file": "15-rag-and-vector-databases/data/perceptron.md",
|
||||
"language_code": "pcm"
|
||||
}
|
||||
-->
|
||||
# Introduction to Neural Networks: Perceptron
|
||||
|
||||
One of di first try wey dem do to create somtin wey resemble modern neural network na Frank Rosenblatt from Cornell Aeronautical Laboratory for 1957. E be hardware wey dem call "Mark-1", e dey designed to sabi primitive geometric shapes like triangle, square and circle.
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
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|
||||
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|
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||||
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|
||||
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|
||||
"language_code": "pcm"
|
||||
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|
||||
-->
|
||||
[](https://youtu.be/CuICgfuHFSg?si=x8SpFRUsIxM9dohN)
|
||||
|
||||
## Introduction
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"source_file": "17-ai-agents/README.md",
|
||||
"language_code": "pcm"
|
||||
}
|
||||
-->
|
||||
[](https://youtu.be/yAXVW-lUINc?si=bOtW9nL6jc3XJgOM)
|
||||
|
||||
## Introduction
|
||||
|
||||
@ -1,13 +1,4 @@
|
||||
<!--
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"source_file": "18-fine-tuning/README.md",
|
||||
"language_code": "pcm"
|
||||
}
|
||||
-->
|
||||
[](https://youtu.be/6UAwhL9Q-TQ?si=5jJd8yeQsCfJ97em)
|
||||
[](https://youtu.be/6UAwhL9Q-TQ?si=5jJd8yeQsCfJ97em)
|
||||
|
||||
# Fine-Tuning Your LLM
|
||||
|
||||
@ -32,7 +23,7 @@ You ready? Make we start.
|
||||
|
||||
You want sabi the koko of everything wey we go cover before we start? Check this illustrated guide wey talk about the learning journey for this lesson - from learning the main ideas and why fine-tuning dey important, to understanding how the process dey happen and the best way to do fine-tuning work. This topic sweet well well, so no forget to check the [Resources](./RESOURCES.md?WT.mc_id=academic-105485-koreyst) page for extra links wey go help you learn by yourself!
|
||||
|
||||
|
||||
|
||||
|
||||
## Wetin be fine-tuning for language models?
|
||||
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"source_file": "18-fine-tuning/RESOURCES.md",
|
||||
"language_code": "pcm"
|
||||
}
|
||||
-->
|
||||
# Resources For Self-Guided Learning
|
||||
|
||||
Dis lesson na di one wey dem build wit plenty core resources from OpenAI and Azure OpenAI as reference for di terms and tutorials. Here na list wey no complete, wey fit help you for your own self-guided learning waka.
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
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|
||||
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|
||||
"original_hash": "124ad36cfe96f74038811b6e2bb93e9d",
|
||||
"translation_date": "2025-11-12T09:05:21+00:00",
|
||||
"source_file": "19-slm/README.md",
|
||||
"language_code": "pcm"
|
||||
}
|
||||
-->
|
||||
# Introduction to Small Language Models for Generative AI for Beginners
|
||||
Generative AI na one kain area for artificial intelligence wey dey focus on how to create system wey fit generate new content. Dis content fit be text, image, music, or even full virtual environment. One of di most interesting way wey dem dey use generative AI na for language models.
|
||||
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"source_file": "20-mistral/README.md",
|
||||
"language_code": "pcm"
|
||||
}
|
||||
-->
|
||||
# How to Build wit Mistral Models
|
||||
|
||||
## Introduction
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
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|
||||
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|
||||
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|
||||
"source_file": "21-meta/README.md",
|
||||
"language_code": "pcm"
|
||||
}
|
||||
-->
|
||||
# How to Build Wit Meta Family Models
|
||||
|
||||
## Introduction
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "19b8d432e5ed3ab209641dd8dad643fb",
|
||||
"translation_date": "2025-11-12T08:49:12+00:00",
|
||||
"source_file": "AGENTS.md",
|
||||
"language_code": "pcm"
|
||||
}
|
||||
-->
|
||||
# AGENTS.md
|
||||
|
||||
## Project Overview
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
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|
||||
"original_hash": "c06b12caf3c901eb3156e3dd5b0aea56",
|
||||
"translation_date": "2025-11-12T08:50:14+00:00",
|
||||
"source_file": "CODE_OF_CONDUCT.md",
|
||||
"language_code": "pcm"
|
||||
}
|
||||
-->
|
||||
# Microsoft Open Source Code of Conduct
|
||||
|
||||
Dis project don adopt di [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
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|
||||
"original_hash": "57c41f2af71001a2cff9d8eb797cb843",
|
||||
"translation_date": "2025-11-12T08:48:37+00:00",
|
||||
"source_file": "CONTRIBUTING.md",
|
||||
"language_code": "pcm"
|
||||
}
|
||||
-->
|
||||
# Contributin
|
||||
|
||||
Dis project dey welcome contribution and suggestion. Most contribution go need make you agree to Contributor License Agreement (CLA) wey go show say you get di right to, and you dey really give us di right to use wetin you contribute. For more info, go <https://cla.microsoft.com>.
|
||||
|
||||
@ -1,15 +1,6 @@
|
||||
<!--
|
||||
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|
||||
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|
||||
"original_hash": "054860715e642de31fa8e15c6d01f2b1",
|
||||
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|
||||
"source_file": "README.md",
|
||||
"language_code": "pcm"
|
||||
}
|
||||
-->
|
||||
|
||||
|
||||
### 21 Lessons wey teach everytin wey you need sabi to start build Generative AI applications
|
||||
### 21 Lekshọn wey dey teach all tin wey you need sabi to start build Generative AI application dem
|
||||
|
||||
[](https://github.com/microsoft/Generative-AI-For-Beginners/blob/master/LICENSE?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://GitHub.com/microsoft/Generative-AI-For-Beginners/graphs/contributors/?WT.mc_id=academic-105485-koreyst)
|
||||
@ -28,107 +19,108 @@ CO_OP_TRANSLATOR_METADATA:
|
||||
#### Supported via GitHub Action (Automated & Always Up-to-Date)
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
|
||||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh/README.md) | [Chinese (Traditional, Hong Kong)](../hk/README.md) | [Chinese (Traditional, Macau)](../mo/README.md) | [Chinese (Traditional, Taiwan)](../tw/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](./README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../br/README.md) | [Portuguese (Portugal)](../pt/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
[Arabic](../ar/README.md) | [Bengali](../bn/README.md) | [Bulgarian](../bg/README.md) | [Burmese (Myanmar)](../my/README.md) | [Chinese (Simplified)](../zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](../zh-HK/README.md) | [Chinese (Traditional, Macau)](../zh-MO/README.md) | [Chinese (Traditional, Taiwan)](../zh-TW/README.md) | [Croatian](../hr/README.md) | [Czech](../cs/README.md) | [Danish](../da/README.md) | [Dutch](../nl/README.md) | [Estonian](../et/README.md) | [Finnish](../fi/README.md) | [French](../fr/README.md) | [German](../de/README.md) | [Greek](../el/README.md) | [Hebrew](../he/README.md) | [Hindi](../hi/README.md) | [Hungarian](../hu/README.md) | [Indonesian](../id/README.md) | [Italian](../it/README.md) | [Japanese](../ja/README.md) | [Kannada](../kn/README.md) | [Korean](../ko/README.md) | [Lithuanian](../lt/README.md) | [Malay](../ms/README.md) | [Malayalam](../ml/README.md) | [Marathi](../mr/README.md) | [Nepali](../ne/README.md) | [Nigerian Pidgin](./README.md) | [Norwegian](../no/README.md) | [Persian (Farsi)](../fa/README.md) | [Polish](../pl/README.md) | [Portuguese (Brazil)](../pt-BR/README.md) | [Portuguese (Portugal)](../pt-PT/README.md) | [Punjabi (Gurmukhi)](../pa/README.md) | [Romanian](../ro/README.md) | [Russian](../ru/README.md) | [Serbian (Cyrillic)](../sr/README.md) | [Slovak](../sk/README.md) | [Slovenian](../sl/README.md) | [Spanish](../es/README.md) | [Swahili](../sw/README.md) | [Swedish](../sv/README.md) | [Tagalog (Filipino)](../tl/README.md) | [Tamil](../ta/README.md) | [Telugu](../te/README.md) | [Thai](../th/README.md) | [Turkish](../tr/README.md) | [Ukrainian](../uk/README.md) | [Urdu](../ur/README.md) | [Vietnamese](../vi/README.md)
|
||||
|
||||
> **You Dey Prefer Clone Inside Your Computer?**
|
||||
> **Prefer to Clone Locally?**
|
||||
|
||||
> Dis repo get 50+ language translations wey go make di download big well well. To clone without translations, use sparse checkout:
|
||||
> Dis repo get pass 50 language translations wey dey make d download size plenty. To clone without translations, use sparse checkout:
|
||||
> ```bash
|
||||
> git clone --filter=blob:none --sparse https://github.com/microsoft/generative-ai-for-beginners.git
|
||||
> cd generative-ai-for-beginners
|
||||
> git sparse-checkout set --no-cone '/*' '!translations' '!translated_images'
|
||||
> ```
|
||||
> Dis go give you everytin wey you need to finish di course quick quick.
|
||||
> Dis one go give you all di tins wey you need to complete d course faster.
|
||||
|
||||
<!-- CO-OP TRANSLATOR LANGUAGES TABLE END -->
|
||||
|
||||
# Generative AI for Beginners (Version 3) - One Course
|
||||
# Generative AI for Beginners (Version 3) - A Course
|
||||
|
||||
Learn di basics of how to build Generative AI applications with our 21-lesson full course by Microsoft Cloud Advocates.
|
||||
Learn di basics of how to build Generative AI applications wit our 21-lesson koko course by Microsoft Cloud Advocates.
|
||||
|
||||
## 🌱 How to Start
|
||||
## 🌱 Getting Started
|
||||
|
||||
Dis course get 21 lessons. Every lesson dey talk about one topic so you fit start any part wey you want!
|
||||
Dis course get 21 lessons. Each lesson get e own topic so start for anywhere you like!
|
||||
|
||||
Lessons dey labeled as either "Learn" lessons wey explain Generative AI concept or "Build" lessons wey explain concept plus code examples for both **Python** and **TypeScript** when e possible.
|
||||
Lessons dem be either "Learn" lessons wey dey explain Generative AI concept or "Build" lessons wey dey explain concept plus code examples for both **Python** and **TypeScript** if e possible.
|
||||
|
||||
For .NET Developers check [Generative AI for Beginners (.NET Edition)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)!
|
||||
For .NET Developers, check [Generative AI for Beginners (.NET Edition)](https://github.com/microsoft/Generative-AI-for-beginners-dotnet?WT.mc_id=academic-105485-koreyst)!
|
||||
|
||||
Every lesson also get one "Keep Learning" part with extra tools to help you learn more.
|
||||
Every lesson still get "Keep Learning" section wey get extra learning tools.
|
||||
|
||||
## Wetin You Need
|
||||
### To run di code for dis course, you fit use either:
|
||||
### To run di code for dis course, you fit use:
|
||||
- [Azure OpenAI Service](https://aka.ms/genai-beginners/azure-open-ai?WT.mc_id=academic-105485-koreyst) - **Lessons:** "aoai-assignment"
|
||||
- [GitHub Marketplace Model Catalog](https://aka.ms/genai-beginners/gh-models?WT.mc_id=academic-105485-koreyst) - **Lessons:** "githubmodels"
|
||||
- [OpenAI API](https://aka.ms/genai-beginners/open-ai?WT.mc_id=academic-105485-koreyst) - **Lessons:** "oai-assignment"
|
||||
|
||||
- Basic knowledge of Python or TypeScript dey helpful - \*For complete beginners make you check dis [Python](https://aka.ms/genai-beginners/python?WT.mc_id=academic-105485-koreyst) and [TypeScript](https://aka.ms/genai-beginners/typescript?WT.mc_id=academic-105485-koreyst) courses
|
||||
- You need GitHub account to [fork dis whole repo](https://aka.ms/genai-beginners/github?WT.mc_id=academic-105485-koreyst) to your own GitHub account
|
||||
- Basic sabi for Python or TypeScript go help - \*For people wey never sabi at all, check these [Python](https://aka.ms/genai-beginners/python?WT.mc_id=academic-105485-koreyst) and [TypeScript](https://aka.ms/genai-beginners/typescript?WT.mc_id=academic-105485-koreyst) courses
|
||||
- One GitHub account to [fork dis complete repo](https://aka.ms/genai-beginners/github?WT.mc_id=academic-105485-koreyst) go your own GitHub account
|
||||
|
||||
We don make one **[Course Setup](./00-course-setup/README.md?WT.mc_id=academic-105485-koreyst)** lesson to help you set up your development environment.
|
||||
We don create **[Course Setup](./00-course-setup/README.md?WT.mc_id=academic-105485-koreyst)** lesson to help you set up your development environment.
|
||||
|
||||
No forget to [star (🌟) dis repo](https://docs.github.com/en/get-started/exploring-projects-on-github/saving-repositories-with-stars?WT.mc_id=academic-105485-koreyst) make e easy for you find am later.
|
||||
No forget to [star (🌟) dis repo](https://docs.github.com/en/get-started/exploring-projects-on-github/saving-repositories-with-stars?WT.mc_id=academic-105485-koreyst) so e go easy for you to find am later.
|
||||
|
||||
## 🧠 You Dey Ready to Deploy?
|
||||
## 🧠 You Ready to Deploy?
|
||||
|
||||
If you dey find more advanced code samples, check our [Generative AI Code Samples collection](https://aka.ms/genai-beg-code?WT.mc_id=academic-105485-koreyst) for both **Python** and **TypeScript**.
|
||||
If you dey find more advanced code samples, check our [collection of Generative AI Code Samples](https://aka.ms/genai-beg-code?WT.mc_id=academic-105485-koreyst) for both **Python** and **TypeScript**.
|
||||
|
||||
## 🗣️ Meet Other Learners, Get Support
|
||||
|
||||
Join our [official Azure AI Foundry Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-koreyst) to meet and connect with other learners wey dey do dis course and get support.
|
||||
Join our [official Azure AI Foundry Discord server](https://aka.ms/genai-discord?WT.mc_id=academic-105485-koreyst) to meet and network wit other learners wey dey do dis course and get support.
|
||||
|
||||
You fit ask questions or share product feedback for our [Azure AI Foundry Developer Forum](https://aka.ms/azureaifoundry/forum) for Github.
|
||||
Ask questions or drop product feedback for our [Azure AI Foundry Developer Forum](https://aka.ms/azureaifoundry/forum) for Github.
|
||||
|
||||
## 🚀 You Dey Build Startup?
|
||||
## 🚀 You dey Build Startup?
|
||||
|
||||
Go visit [Microsoft for Startups](https://www.microsoft.com/startups) to learn how to start build with Azure credits today.
|
||||
Go [Microsoft for Startups](https://www.microsoft.com/startups) to find how to start build wit Azure credits today.
|
||||
|
||||
## 🙏 You Wan Help?
|
||||
## 🙏 You want help?
|
||||
|
||||
You get suggestions or you see spelling or code mistakes? [Raise an issue](https://github.com/microsoft/generative-ai-for-beginners/issues?WT.mc_id=academic-105485-koreyst) or [Create a pull request](https://github.com/microsoft/generative-ai-for-beginners/pulls?WT.mc_id=academic-105485-koreyst)
|
||||
You get any suggestions or you see any mistakes for spelling or code? [Raise an issue](https://github.com/microsoft/generative-ai-for-beginners/issues?WT.mc_id=academic-105485-koreyst) or [Create pull request](https://github.com/microsoft/generative-ai-for-beginners/pulls?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## 📂 Every lesson get:
|
||||
## 📂 Each Lesson get:
|
||||
|
||||
- One short video wey introduce di topic
|
||||
- Di lesson wey dem write inside README
|
||||
- Python and TypeScript code samples wey fit Azure OpenAI and OpenAI API
|
||||
- Links to more resources to help you continue learning
|
||||
- Small video to introduce di topic
|
||||
- Written lesson wey dey README
|
||||
- Python and TypeScript code samples wey support Azure OpenAI and OpenAI API
|
||||
- Links to more resources to continue your learning
|
||||
|
||||
## 🗃️ Lessons
|
||||
|
||||
| # | **Lesson Link** | **Description** | **Video** | **Extra Learning** |
|
||||
| --- | -------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------- | ------------------------------------------------------------------------------ |
|
||||
| 00 | [Course Setup](./00-course-setup/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** How to Setup Your Development Environment | Video Coming Soon | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 01 | [Introduction to Generative AI and LLMs](./01-introduction-to-genai/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** Understanding wetin Generative AI be and how Large Language Models (LLMs) dey work. | [Video](https://aka.ms/gen-ai-lesson-1-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 02 | [Exploring and comparing different LLMs](./02-exploring-and-comparing-different-llms/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** How to choose di correct model for your use case | [Video](https://aka.ms/gen-ai-lesson2-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 03 | [Using Generative AI Responsibly](./03-using-generative-ai-responsibly/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** How to build Generative AI Applications wey responsible | [Video](https://aka.ms/gen-ai-lesson3-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 01 | [Introduction to Generative AI and LLMs](./01-introduction-to-genai/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** Understand wat Generative AI be and how Large Language Models (LLMs) dey work. | [Video](https://aka.ms/gen-ai-lesson-1-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 02 | [Exploring and comparing different LLMs](./02-exploring-and-comparing-different-llms/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** How to choose correct model for your use case | [Video](https://aka.ms/gen-ai-lesson2-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 03 | [Using Generative AI Responsibly](./03-using-generative-ai-responsibly/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** How to build Generative AI Applications responsibly | [Video](https://aka.ms/gen-ai-lesson3-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 04 | [Understanding Prompt Engineering Fundamentals](./04-prompt-engineering-fundamentals/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** Hands-on Prompt Engineering Best Practices | [Video](https://aka.ms/gen-ai-lesson4-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 05 | [Creating Advanced Prompts](./05-advanced-prompts/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** How you fit take apply prompt engineering techniques wey go improve how your prompts go turn out. | [Video](https://aka.ms/gen-ai-lesson5-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 06 | [Building Text Generation Applications](./06-text-generation-apps/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** How to build text generation app wey dey use Azure OpenAI / OpenAI API | [Video](https://aka.ms/gen-ai-lesson6-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 07 | [Building Chat Applications](./07-building-chat-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** Techniques wey go help you build and join chat applications well well. | [Video](https://aka.ms/gen-ai-lessons7-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 08 | [Building Search Apps Vector Databases](./08-building-search-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** How to build search app wey go use Embeddings to find data. | [Video](https://aka.ms/gen-ai-lesson8-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 09 | [Building Image Generation Applications](./09-building-image-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** How to build image generation application | [Video](https://aka.ms/gen-ai-lesson9-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 10 | [Building Low Code AI Applications](./10-building-low-code-ai-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** How to build Generative AI application wey dey use Low Code tools | [Video](https://aka.ms/gen-ai-lesson10-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 11 | [Integrating External Applications with Function Calling](./11-integrating-with-function-calling/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** Wetin be function calling and how applications dey use am | [Video](https://aka.ms/gen-ai-lesson11-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 12 | [Designing UX for AI Applications](./12-designing-ux-for-ai-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** How to apply UX design principles when you dey develop Generative AI Applications | [Video](https://aka.ms/gen-ai-lesson12-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 13 | [Securing Your Generative AI Applications](./13-securing-ai-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** The threats and risks wey fit affect AI systems and how to secure dem. | [Video](https://aka.ms/gen-ai-lesson13-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 14 | [The Generative AI Application Lifecycle](./14-the-generative-ai-application-lifecycle/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** The tools and metrics wey fit help you manage the LLM Lifecycle and LLMOps | [Video](https://aka.ms/gen-ai-lesson14-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 15 | [Retrieval Augmented Generation (RAG) and Vector Databases](./15-rag-and-vector-databases/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** How to build app wey dey use RAG Framework to fetch embeddings from Vector Databases | [Video](https://aka.ms/gen-ai-lesson15-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 16 | [Open Source Models and Hugging Face](./16-open-source-models/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** How to build app wey dey use open source models wey dey for Hugging Face | [Video](https://aka.ms/gen-ai-lesson16-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 17 | [AI Agents](./17-ai-agents/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** How to build app wey dey use AI Agent Framework | [Video](https://aka.ms/gen-ai-lesson17-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 18 | [Fine-Tuning LLMs](./18-fine-tuning/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** Wetin be fine-tuning LLMs, why e dey important and how you go do am | [Video](https://aka.ms/gen-ai-lesson18-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 19 | [Building with SLMs](./19-slm/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** The beta wey dey inside building with Small Language Models | Video Coming Soon | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 05 | [Creating Advanced Prompts](./05-advanced-prompts/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | [Video](https://aka.ms/gen-ai-lesson5-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 06 | [Building Text Generation Applications](./06-text-generation-apps/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** A text generation app using Azure OpenAI / OpenAI API | [Video](https://aka.ms/gen-ai-lesson6-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 07 | [Building Chat Applications](./07-building-chat-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** Techniques for efficiently building and integrating chat applications. | [Video](https://aka.ms/gen-ai-lessons7-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 08 | [Building Search Apps Vector Databases](./08-building-search-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** A search application that uses Embeddings to search for data. | [Video](https://aka.ms/gen-ai-lesson8-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 09 | [Building Image Generation Applications](./09-building-image-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** An image generation application | [Video](https://aka.ms/gen-ai-lesson9-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 10 | [Building Low Code AI Applications](./10-building-low-code-ai-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** A Generative AI application using Low Code tools | [Video](https://aka.ms/gen-ai-lesson10-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 11 | [Integrating External Applications with Function Calling](./11-integrating-with-function-calling/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** What is function calling and its use cases for applications | [Video](https://aka.ms/gen-ai-lesson11-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 12 | [Designing UX for AI Applications](./12-designing-ux-for-ai-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** How to apply UX design principles when developing Generative AI Applications | [Video](https://aka.ms/gen-ai-lesson12-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 13 | [Securing Your Generative AI Applications](./13-securing-ai-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** The threats and risks to AI systems and methods to secure these systems. | [Video](https://aka.ms/gen-ai-lesson13-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 14 | [The Generative AI Application Lifecycle](./14-the-generative-ai-application-lifecycle/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | [Video](https://aka.ms/gen-ai-lesson14-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 15 | [Retrieval Augmented Generation (RAG) and Vector Databases](./15-rag-and-vector-databases/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | [Video](https://aka.ms/gen-ai-lesson15-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 16 | [Open Source Models and Hugging Face](./16-open-source-models/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** An application using open source models available on Hugging Face | [Video](https://aka.ms/gen-ai-lesson16-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 17 | [AI Agents](./17-ai-agents/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** An application using an AI Agent Framework | [Video](https://aka.ms/gen-ai-lesson17-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 18 | [Fine-Tuning LLMs](./18-fine-tuning/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** The what, why and how of fine-tuning LLMs | [Video](https://aka.ms/gen-ai-lesson18-gh?WT.mc_id=academic-105485-koreyst) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 19 | [Building with SLMs](./19-slm/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** The benefits of building with Small Language Models | Video Coming Soon | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 20 | [Building with Mistral Models](./20-mistral/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** The features and differences of the Mistral Family Models | Video Coming Soon | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
| 21 | [Building with Meta Models](./21-meta/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** The features and differences of the Meta Family Models | Video Coming Soon | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
|
||||
|
||||
### 🌟 Special thanks
|
||||
|
||||
Special thanks to [**John Aziz**](https://www.linkedin.com/in/john0isaac/) for creating all di GitHub Actions and workflows
|
||||
Special thanks to [**John Aziz**](https://www.linkedin.com/in/john0isaac/) for creating all of the GitHub Actions and workflows
|
||||
|
||||
[**Bernhard Merkle**](https://www.linkedin.com/in/bernhard-merkle-738b73/) for di important contributions wey e add inside every lesson to make learner and code experience beta.
|
||||
[**Bernhard Merkle**](https://www.linkedin.com/in/bernhard-merkle-738b73/) for making key contributions to each lesson to improve the learner and code experience.
|
||||
|
||||
## 🎒 Other Courses
|
||||
|
||||
Our team dey produce other courses too! Make you check dem out:
|
||||
Our team dey produce oda courses! Check am out:
|
||||
|
||||
<!-- CO-OP TRANSLATOR OTHER COURSES START -->
|
||||
### LangChain
|
||||
@ -163,7 +155,7 @@ Our team dey produce other courses too! Make you check dem out:
|
||||
[](https://github.com/microsoft/xr-development-for-beginners?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
---
|
||||
|
||||
|
||||
### Copilot Series
|
||||
[](https://aka.ms/GitHubCopilotAI?WT.mc_id=academic-105485-koreyst)
|
||||
[](https://github.com/microsoft/mastering-github-copilot-for-dotnet-csharp-developers?WT.mc_id=academic-105485-koreyst)
|
||||
@ -172,17 +164,17 @@ Our team dey produce other courses too! Make you check dem out:
|
||||
|
||||
## Getting Help
|
||||
|
||||
If you jam or get any question about how to build AI apps. Make you join other learners and experienced developers dey chat about MCP. Na one kind supportive community wey questions dey allowed and dem dey share knowledge freely.
|
||||
If you don jam gbege or get any question about how to build AI apps. Abeg join other learners and people wey sabi for discussions about MCP. E be like community wey dey supportive, wey questions dey welcome and knowledge dey share freely.
|
||||
|
||||
[](https://discord.gg/nTYy5BXMWG)
|
||||
|
||||
If you get product feedback or errors while you dey build, waka go:
|
||||
If you get product feedback or errors while you dey build, waka go this side:
|
||||
|
||||
[](https://aka.ms/foundry/forum)
|
||||
|
||||
---
|
||||
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER START -->
|
||||
**Disclaimer**:
|
||||
Dis document don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even though we try make am correct, abeg sabi say automated translation fit get some gbege or mistake. Di original document wey dey for im own language na di correct one. For important matter, better make person wey sabi do human translation check am. We no go carry last for any misunderstanding or wrong meaning wey fit come from dis translation.
|
||||
**Disclaimer**:
|
||||
Dis document na wetin AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator) use translate am. Even though we dey try make e correct, abeg sabi say automatic translation fit get some errors or wrong meaning. Di original document wey e dey for im correct language na di real ogbonge source. For important info, e better make human professional translate am. We no go take waka for any wahala or wrong meaning wey fit show because of dis translation.
|
||||
<!-- CO-OP TRANSLATOR DISCLAIMER END -->
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
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|
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||||
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|
||||
"source_file": "SECURITY.md",
|
||||
"language_code": "pcm"
|
||||
}
|
||||
-->
|
||||
## Security
|
||||
|
||||
Microsoft dey take di security of dia software products and services serious, e include all di source code repositories wey dem dey manage through dia GitHub organizations, wey include [Microsoft](https://github.com/microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet), [Xamarin](https://github.com/xamarin), and [our GitHub organizations](https://opensource.microsoft.com/).
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
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|
||||
"source_file": "docs/_navbar.md",
|
||||
"language_code": "pcm"
|
||||
}
|
||||
-->
|
||||
* Choose Language
|
||||
|
||||
* [English](../../../../../../../..)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
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|
||||
"source_file": "docs/_sidebar.md",
|
||||
"language_code": "pcm"
|
||||
}
|
||||
-->
|
||||
- How to Start
|
||||
- [Intro to Generative AI](../01-introduction-to-genai/README.md?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
|
||||
230
translations/ta/.co-op-translator.json
Normal file
230
translations/ta/.co-op-translator.json
Normal file
@ -0,0 +1,230 @@
|
||||
{
|
||||
"00-course-setup/01-setup-cloud.md": {
|
||||
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|
||||
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|
||||
"source_file": "00-course-setup/01-setup-cloud.md",
|
||||
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|
||||
},
|
||||
"00-course-setup/02-setup-local.md": {
|
||||
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|
||||
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|
||||
"source_file": "00-course-setup/02-setup-local.md",
|
||||
"language_code": "ta"
|
||||
},
|
||||
"00-course-setup/03-providers.md": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"00-course-setup/README.md": {
|
||||
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||||
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|
||||
"source_file": "00-course-setup/README.md",
|
||||
"language_code": "ta"
|
||||
},
|
||||
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|
||||
# கிளவுட் அமைப்பு ☁️ – GitHub Codespaces
|
||||
|
||||
**உங்கள் கணினியில் எதையும் நிறுவ விரும்பாதவர்களுக்கான வழிகாட்டி.**
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|
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|
||||
# உள்ளூர் அமைப்பு 🖥️
|
||||
|
||||
**உங்கள் சொந்த லேப்டாப்பில் எல்லாவற்றையும் இயக்க விரும்பினால் இந்த வழிகாட்டியை பயன்படுத்தவும்.**
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|
||||
# LLM வழங்குநரை தேர்வு செய்தல் மற்றும் கட்டமைத்தல் 🔑
|
||||
|
||||
பணிகள் **சாத்தியமாக** ஒரு அல்லது அதற்கு மேற்பட்ட பெரிய மொழி மாதிரி (LLM) அமர்வுகளுக்கு ஆதரவு வழங்குநர்களான OpenAI, Azure அல்லது Hugging Face போன்ற சேவையகங்களின் மூலம் அமைக்கப்படலாம். இவை நமக்கு சரியான அங்கீகாரத்துடன் (API விசை அல்லது டோக்கன்) நிரலாக்கமாக அணுகக்கூடிய _ஹோஸ்ட் செய்யப்பட்ட முடிவுக்குறிப்பை_ (API) வழங்குகின்றன. இந்த பாடத்தில், நாம் இந்த வழங்குநர்களைப் பற்றி விவாதிக்கிறோம்:
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
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|
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|
||||
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|
||||
# இந்த பாடத்தை தொடங்குவது
|
||||
|
||||
இந்த பாடத்தை நீங்கள் தொடங்குவதற்கு நாங்கள் மிகவும் உற்சாகமாக உள்ளோம், மேலும் Generative AI உடன் நீங்கள் உருவாக்குவதற்கு என்ன உந்துதல் பெறுகிறீர்கள் என்பதை பார்க்க விரும்புகிறோம்!
|
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|
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@ -1,12 +1,3 @@
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|
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|
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|
||||
# ஜெனரேட்டிவ் AI மற்றும் பெரிய மொழி மாதிரிகள் அறிமுகம்
|
||||
|
||||
[](https://youtu.be/lFXQkBvEe0o?si=6ZBcQTwLJJDpnX0K)
|
||||
|
||||
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|
||||
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|
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|
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|
||||
# வெகுஜன மொழி மாதிரிகளை ஆராய்ந்து ஒப்பிடுதல்
|
||||
|
||||
[](https://youtu.be/KIRUeDKscfI?si=8BHX1zvwzQBn-PlK)
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|
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|
||||
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|
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|
||||
# ஜெனரேட்டிவ் AI-ஐ பொறுப்புடன் பயன்படுத்துவது
|
||||
|
||||
[](https://youtu.be/YOp-e1GjZdA?si=7Wv4wu3x44L1DCVj)
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|
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|
||||
-->
|
||||
# ப்ராம்ப்ட் இன்ஜினியரிங் அடிப்படைகள்
|
||||
|
||||
[](https://youtu.be/GElCu2kUlRs?si=qrXsBvXnCW12epb8)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
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"translation_date": "2025-10-18T02:34:26+00:00",
|
||||
"source_file": "05-advanced-prompts/README.md",
|
||||
"language_code": "ta"
|
||||
}
|
||||
-->
|
||||
# மேம்பட்ட ப்ராம்ப்ட்களை உருவாக்குதல்
|
||||
|
||||
[](https://youtu.be/BAjzkaCdRok?si=NmUIyRf7-cDgbjtt)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
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|
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"translation_date": "2025-10-18T02:35:05+00:00",
|
||||
"source_file": "06-text-generation-apps/README.md",
|
||||
"language_code": "ta"
|
||||
}
|
||||
-->
|
||||
# உரை உருவாக்க பயன்பாடுகளை உருவாக்குதல்
|
||||
|
||||
[](https://youtu.be/0Y5Luf5sRQA?si=t_xVg0clnAI4oUFZ)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "a5308963a56cfbad2d73b0fa99fe84b3",
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||||
"translation_date": "2025-10-18T02:43:05+00:00",
|
||||
"source_file": "07-building-chat-applications/README.md",
|
||||
"language_code": "ta"
|
||||
}
|
||||
-->
|
||||
# ஜெனரேட்டிவ் AI-இன் சக்தியுடன் கூடிய உரையாடல் பயன்பாடுகளை உருவாக்குதல்
|
||||
|
||||
[](https://youtu.be/R9V0ZY1BEQo?si=IHuU-fS9YWT8s4sA)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "58953c08b8ba7073b836d4270ea0fe86",
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||||
"translation_date": "2025-10-18T02:36:20+00:00",
|
||||
"source_file": "08-building-search-applications/README.md",
|
||||
"language_code": "ta"
|
||||
}
|
||||
-->
|
||||
# தேடல் பயன்பாடுகளை உருவாக்குதல்
|
||||
|
||||
[](https://youtu.be/W0-nzXjOjr0?si=GcsqiTTvd7RKbo7V)
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "0d69f2d5814a698d3de5d0235940b5ae",
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||||
"translation_date": "2025-10-11T11:24:51+00:00",
|
||||
"source_file": "08-building-search-applications/scripts/README.md",
|
||||
"language_code": "ta"
|
||||
}
|
||||
-->
|
||||
# உரை தரவுகளை தயாரித்தல்
|
||||
|
||||
உரை தரவுகளை தயாரிக்கும் ஸ்கிரிப்ட்கள் YouTube வீடியோ உரைகளை பதிவிறக்கம் செய்து, Semantic Search with OpenAI Embeddings மற்றும் Functions மாதிரியில் பயன்படுத்த தயாராக செய்கின்றன.
|
||||
|
||||
@ -1,12 +1,3 @@
|
||||
<!--
|
||||
CO_OP_TRANSLATOR_METADATA:
|
||||
{
|
||||
"original_hash": "238cde5c90363d70ecc939569378da51",
|
||||
"translation_date": "2025-10-18T02:41:41+00:00",
|
||||
"source_file": "09-building-image-applications/README.md",
|
||||
"language_code": "ta"
|
||||
}
|
||||
-->
|
||||
# படங்களை உருவாக்கும் பயன்பாடுகளை உருவாக்குதல்
|
||||
|
||||
[](https://youtu.be/B5VP0_J7cs8?si=5P3L5o7F_uS_QcG9)
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
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Reference in New Issue
Block a user