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# Introduction to Generative AI and Large Language Models
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[](https://aka.ms/gen-ai-lesson-1-gh)
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[](https://aka.ms/gen-ai-lesson-1-gh?WT.mc_id=academic-105485-koreyst)
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_(Click the image above to view video of this lesson)_
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@ -101,7 +101,6 @@ The input of a large language model is known as prompt, while the output is know
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<br>
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- A **question**, asked in the form of a conversation with an agent.
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# 第一章 : 生成式人工智能和 LLMs 介绍
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[](https://aka.ms/gen-ai-lesson-1-gh)
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[](https://aka.ms/gen-ai-lesson-1-gh?WT.mc_id=academic-105485-koreyst)
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_(点击该图片看本章导学视频)_
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# 📚 Introducción a la Inteligencia Artificial Generativa y a los Modelos de Lenguaje Grandes
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[](https://learn.microsoft.com/_themes/docs.theme/master/en-us/_themes/global/video-embed.html?id=36c6795a-e63c-46dd-8d69-df8bbe6e7bc9?WT.mc_id=academic-105485-koreyst)
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[](https://aka.ms/gen-ai-lesson-1-gh?WT.mc_id=academic-105485-koreyst)
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_(Haz clic en la imagen de arriba para ver el video de esta lección)_
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@ -99,7 +99,6 @@ La entrada de un gran modelo de lenguaje se conoce como "prompt" (indicación),
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<br>
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- Una **pregunta**, preguntado en forma de conversación con un agente.
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# 生成 AI と大規模言語モデルの紹介
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[](https://aka.ms/gen-ai-lesson-1-gh)
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[](https://aka.ms/gen-ai-lesson-1-gh?WT.mc_id=academic-105485-koreyst)
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> _(上記の画像をクリックすると、レッスン・ビデオを表示します)_
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# 생성형 AI와 대형 언어 모델 (LLM) 소개
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[](https://aka.ms/gen-ai-lesson-1-gh)
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[](https://aka.ms/gen-ai-lesson-1-gh?WT.mc_id=academic-105485-koreyst)
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_(이미지를 클릭하면 이 수업의 비디오를 볼 수 있습니다)_
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@ -98,7 +98,6 @@ AI 분야에서 수십 년간의 연구 끝에 새로운 모델 구조인 *Trans
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<br>
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- **질문 (question)** 을 통해 대화 형식으로 에이전트에게 질문을 물어볼 수 있습니다.
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# Introdução à Inteligência Artificial Generativa e Grandes Modelos de Linguagem
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[](https://aka.ms/gen-ai-lesson-1-gh)
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[](https://aka.ms/gen-ai-lesson-1-gh?WT.mc_id=academic-105485-koreyst)
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_(Clique na imagem acima para assistir ao vídeo desta lição)_
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# Exploring and comparing different LLMs
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[](https://aka.ms/gen-ai-lesson2-gh)
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[](https://aka.ms/gen-ai-lesson2-gh?WT.mc_id=academic-105485-koreyst)
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> _Click the image above to view video of this lesson_
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# 第二章 : 探索和比较不同的 LLMs
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[](https://learn.microsoft.com/_themes/docs.theme/master/en-us/_themes/global/video-embed.html?id=39aa0f98-826a-4f71-a24d-e888a8e80246?WT.mc_id=academic-105485-koreyst)
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[](https://aka.ms/gen-ai-lesson2-gh?WT.mc_id=academic-105485-koreyst)
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> _点击该图片看本章导学视频_
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# さまざまな LLM の調査と比較
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[](https://learn.microsoft.com/_themes/docs.theme/master/en-us/_themes/global/video-embed.html?id=36c6795a-e63c-46dd-8d69-df8bbe6e7bc9?WT.mc_id=academic-105485-yoterada)
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[](https://aka.ms/gen-ai-lesson2-gh?WT.mc_id=academic-105485-koreyst)
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> _(上記の画像をクリックすると、レッスン・ビデオを表示します)_
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# 다양한 LLM 탐색과 비교
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[](https://youtu.be/J1mWzw0P74c?WT.mc_id=academic-105485-koreyst)
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[](https://aka.ms/gen-ai-lesson2-gh?WT.mc_id=academic-105485-koreyst)
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> *위의 이미지를 클릭하여 이 레슨의 비디오를 시청하세요.*
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> _위의 이미지를 클릭하여 이 레슨의 비디오를 시청하세요._
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이전 레슨에서 우리는 생성형 AI가 기술적인 환경을 변화시키고, 대형 언어 모델 (LLM)이 어떻게 작동하는지, 그리고 우리 스타트업과 같은 비즈니스가 그들을 사용하여 사용 사례를 적용하고 성장할 수 있는지를 보았습니다. 이 장에서는 다른 유형의 대형 언어 모델인 LLM을 비교하고 대조하여 그들의 장단점을 이해하기 위해 탐색할 것입니다.
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@ -79,7 +79,7 @@ LLM은 생성하는 출력에 따라 다양한 범주로 분류될 수 있습니
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텍스트 및 코드 생성 모델은 텍스트나 코드를 생성하는 모델입니다. 이러한 모델은 텍스트 요약, 번역 및 질문에 대한 답변과 같은 작업에 자주 사용됩니다. 텍스트 생성 모델은 대규모 텍스트 데이터셋(예: [BookCorpus](https://www.cv-foundation.org/openaccess/content_iccv_2015/html/Zhu_Aligning_Books_and_ICCV_2015_paper.html?WT.mc_id=academic-105485-koreyst))으로 훈련되며, 새로운 텍스트를 생성하거나 질문에 답변하는 데 사용될 수 있습니다. 코드 생성 모델인 [CodeParrot](https://huggingface.co/codeparrot?WT.mc_id=academic-105485-koreyst)과 같은 모델은 대규모 코드 데이터셋(예: GitHub)으로 훈련되며, 새로운 코드를 생성하거나 기존 코드의 버그를 수정하는 데 사용될 수 있습니다.
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### 인코더-디코더 (Encoder-Decoder) VS 디코더 전용 (Decoder-only)
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# Explorando e comparando diferentes LLMs
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[](https://learn.microsoft.com/_themes/docs.theme/master/en-us/_themes/global/video-embed.html?id=36c6795a-e63c-46dd-8d69-df8bbe6e7bc9?WT.mc_id=academic-105485-koreyst)
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[](https://aka.ms/gen-ai-lesson2-gh?WT.mc_id=academic-105485-koreystt)
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> _Clique na imagem acima para ver o vídeo desta lição_
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# Using Generative AI Responsibly
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[](https://aka.ms/gen-ai-lesson3-gh)
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[](https://aka.ms/gen-ai-lesson3-gh?WT.mc_id=academic-105485-koreyst)
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> _Click the image above to view video of this lesson_
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# 第三章 ： 负责任地使用生成式人工智能
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[](https://aka.ms/gen-ai-lesson3-gh)
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> **导学视频即将上架，敬请期待**
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[](https://aka.ms/gen-ai-lesson3-gh?WT.mc_id=academic-105485-koreyst)
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人们很容易对人工智能尤其是生成式人工智能着迷，但你需要考虑如何负责任地使用它。 你需要考虑如何确保输出是公平的、无害的等等。 本章旨在为您提供上述相关背景信息、需要考虑的事项以及如何采取积极措施来改善人工智能的使用。
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# 生成 AI の責任ある使用
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[](https://aka.ms/gen-ai-lesson3-gh)
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> **ビデオは近日公開予定**
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[](https://aka.ms/gen-ai-lesson3-gh?WT.mc_id=academic-105485-koreyst)
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AI、特に生成 AI にとても強い興味は抱くのは理解できますが、それをどのように責任を持って利用するかについて、十分に検討する必要があります。例えば、出力結果が「公平で有害でない」のを保証するなど、多くの点を考慮すべきです。本章は、上記の背景や考慮すべき点、そして AI をより有効活用するための具体的な行動指針を、皆様にお届けします。
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# 책임감 있게 생성형 AI 사용하기
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[](https://aka.ms/gen-ai-lesson3-gh)
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> **비디오 제공 예정**
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[](https://aka.ms/gen-ai-lesson3-gh?WT.mc_id=academic-105485-koreyst)
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AI 및 특히 생성형 AI에 매료되는 것은 쉽지만, 우리는 책임 있는 사용 방법을 고려해야 합니다. 즉, 출력물이 공정하고, 해를 끼치지 않도록 하는 등을 어떻게 보장할지에 대해 고려해야 합니다. 이 장에서는 '책임 있는 AI'가 나오게 된 상황과, 이를 위해 고려해야할 사항 및 AI 사용을 개선하기 위해 적극적인 단계를 취하는 방법을 알려주는 것을 목표로 합니다
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# Usando a IA Generativa de Forma Responsável
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[](https://aka.ms/gen-ai-lesson3-gh)
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> **Vídeo em Breve**
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[](https://aka.ms/gen-ai-lesson3-gh?WT.mc_id=academic-105485-koreyst)
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É fácil se encantar com a IA e a IA generativa em particular. Mas é preciso considerar como você a usará de forma responsável. Você precisa considerar coisas como como garantir que a saída seja justa, não prejudicial e muito mais. Este capítulo tem como objetivo fornecer o contexto mencionado, o que considerar e como tomar medidas ativas para melhorar o uso de sua IA.
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# Prompt Engineering Fundamentals
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[](https://aka.ms/gen-ai-lesson4-gh)
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[](https://aka.ms/gen-ai-lesson4-gh?WT.mc_id=academic-105485-koreyst)
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The way your write your prompt to an LLM also matters. A carefully-crafted prompt can achieve a better quality of response. But what exactly do terms like _prompt_ and _prompt engineering_ mean? And how do I improve the prompt _input_ that I send to the LLM? These are the questions we'll try to answer with in this chapter and the next.
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# 第四章：提示工程基础
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[](https://aka.ms/gen-ai-lesson4-gh)
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[](https://aka.ms/gen-ai-lesson4-gh?WT.mc_id=academic-105485-koreyst)
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如何撰写 LLM 的提示很重要，精心设计的提示可以比不精心设计的提示取得更好的结果。 但这些概念到底是什么，提示、提示工程以及我如何改进我发送给 LLMs 的内容？ 诸如此类的问题正是本章和下一章想要解答的。
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# プロンプト・エンジニアリングの基礎
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[](https://aka.ms/gen-ai-lesson4-gh)
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[](https://aka.ms/gen-ai-lesson4-gh?WT.mc_id=academic-105485-koreyst)
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大規模言語モデル (LLM) では、プロンプトの書き方がとても重要で、慎重に作成したプロンプトは、そうでないものに比べ良い結果をもたらします。しかし、プロンプトやプロンプト・エンジニアリングとは一体どういう物なのでしょうか？また、LLM に送信する内容をどのようにして改善すればいいのでしょうか？この章と次の章では、そうした疑問に答えたいと思います。
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# 프롬프트 엔지니어링 기초
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[](https://aka.ms/gen-ai-lesson4-gh)
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[](https://aka.ms/gen-ai-lesson4-gh?WT.mc_id=academic-105485-koreyst)
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LLM에게 어떻게 프롬프트를 작성하는지는 중요합니다. 신중하게 작성된 프롬프트는 그렇지 않은 프롬프트보다 더 좋은 결과를 얻을 수 있습니다. 그런데 이런 개념들, 프롬프트, 프롬프트 엔지니어링이 무엇인지, 그리고 LLM에게 보내는 것을 어떻게 개선할 수 있는지에 대한 질문들은 바로 이 장과 다가올 장에서 답변하려고 합니다.
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# Fundamentos de Engenharia de Prompt
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[](https://aka.ms/gen-ai-lesson4-gh)
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[](https://aka.ms/gen-ai-lesson4-gh?WT.mc_id=academic-105485-koreyst)
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A forma como você escreve seu prompt para o LLM importa. Um prompt cuidadosamente elaborado pode alcançar um resultado melhor do que um que não é. Mas o que são esses conceitos, prompt, Engenharia de Prompt e como posso melhorar o que envio para o LLM? Perguntas como essas são o que este capítulo e o próximo estão procurando responder.
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# Creating Advanced prompts
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[](https://aka.ms/gen-ai-lesson5-gh)
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[](https://aka.ms/gen-ai-lesson5-gh?WT.mc_id=academic-105485-koreyst?WT.mc_id=academic-105485-koreyst)
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Let's recap some learnings from the previous chapter:
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# 第五章：创建高级的提示工程技巧
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[](https://aka.ms/gen-ai-lesson5-gh)
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[](https://aka.ms/gen-ai-lesson5-gh?WT.mc_id=academic-105485-koreyst)
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让我们回顾一下上一章的一些知识：
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# 高度なプロンプトの作成
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[](https://aka.ms/gen-ai-lesson5-gh)
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[](https://aka.ms/gen-ai-lesson5-gh?WT.mc_id=academic-105485-koreyst)
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前章までの学習内容をいくつかおさらいしましょう。
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# 고급 프롬프트 생성
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[](https://aka.ms/gen-ai-lesson5-gh)
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[](https://aka.ms/gen-ai-lesson5-gh?WT.mc_id=academic-105485-koreyst)
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이전 장에서 배운 내용을 간단히 되짚어보겠습니다:
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# Criando prompts avançados
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[](https://aka.ms/gen-ai-lesson5-gh)
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[](https://aka.ms/gen-ai-lesson5-gh?WT.mc_id=academic-105485-koreyst)
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Vamos recapitular algumas aprendizagens do capítulo anterior:
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# 第六章：创建文本生成应用
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[](https://aka.ms/gen-ai-lesson6-gh)
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[](https://aka.ms/gen-ai-lesson6-gh?WT.mc_id=academic-105485-koreyst)
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> _(点击该图片看本章导学视频)_
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# テキスト生成アプリケーションの構築
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[](https://aka.ms/gen-ai-lesson6-gh)
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[](https://aka.ms/gen-ai-lesson6-gh?WT.mc_id=academic-105485-koreyst)
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> _(上記の画像をクリックすると、レッスン・ビデオを表示します)_
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@ -1,6 +1,6 @@
|
||||
# 텍스트 생성 애플리케이션 개발
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson6-gh)
|
||||
[](https://aka.ms/gen-ai-lesson6-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
> _(위의 이미지를 클릭하여 이 수업의 동영상을 시청하세요.)_
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# Desenvolvendo Aplicativos de Geração de Texto
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson6-gh)
|
||||
[](https://aka.ms/gen-ai-lesson6-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
> _(Clique na imagem acima para assistir ao vídeo desta lição)_
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# Building Generative AI-Powered Chat Applications
|
||||
|
||||
[](https://aka.ms/gen-ai-lessons7-gh)
|
||||
[](https://aka.ms/gen-ai-lessons7-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
> _(Click the image above to view video of this lesson)_
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# 第七章：创建聊天应用
|
||||
|
||||
[](https://aka.ms/gen-ai-lessons7-gh)
|
||||
[](https://aka.ms/gen-ai-lessons7-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
> _(点击该图片看本章导学视频)_
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# 生成 AI を利用したチャット・アプリケーションの構築
|
||||
|
||||
[](https://aka.ms/gen-ai-lessons7-gh)
|
||||
[](https://aka.ms/gen-ai-lessons7-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
> _(上記の画像をクリックすると、レッスン・ビデオを表示します)_
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# 생성형 AI를 활용한 채팅 애플리케이션 구축
|
||||
|
||||
[](https://aka.ms/gen-ai-lessons7-gh)
|
||||
[](https://aka.ms/gen-ai-lessons7-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
> _(위의 이미지를 클릭하여 이 레슨의 비디오를 시청하세요)_
|
||||
|
||||
|
||||
@ -2,7 +2,7 @@
|
||||
|
||||
## Criando Aplicações Chat com IA Generativa
|
||||
|
||||
[](https://aka.ms/gen-ai-lessons7-gh)
|
||||
[](https://aka.ms/gen-ai-lessons7-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
> _(Clique na imagem acima para ver o vídeo da lição)_
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# Building a Search Applications
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson8-gh)
|
||||
[](https://aka.ms/gen-ai-lesson8-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
> > _Click the image above to view video of this lesson_
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# 第八章：创建搜索应用
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson8-gh)
|
||||
[](https://aka.ms/gen-ai-lesson8-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
LLMs 应用场景不仅仅是聊天机器人和文本生成。 还可以使用嵌入的方式来构建搜索应用程序。 嵌入是数据的数字表示，也称为向量，可用于数据的语义搜索。
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# 検索アプリケーションの構築
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson8-gh)
|
||||
[](https://aka.ms/gen-ai-lesson8-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
LLM は、チャットボットやテキスト生成だけでなく、Embeddings を使った検索アプリケーションの実装も可能です。Embeddings とは、ベクトルと呼ばれるデータの数値表現で、データのセマンティック検索に活用できます。
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# 검색 애플리케이션 만들기
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson8-gh)
|
||||
[](https://aka.ms/gen-ai-lesson8-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
LLM(대형 언어 모델)은 챗봇과 텍스트 생성 이상의 기능을 가지고 있습니다. Embedding을 사용하여 검색 애플리케이션을 만들 수도 있습니다. Embedding은 데이터의 수치적 표현인 벡터로, 데이터의 의미 기반 검색에 사용할 수 있습니다.
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# Criando Aplicações de Busca
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson8-gh)
|
||||
[](https://aka.ms/gen-ai-lesson8-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
Há muito mais nas LLMs do que chatbots e geração de texto. Também é possível criar aplicações de busca usando `Embeddings`. `Embeddings` são representações numéricas de dados, também conhecidas como vetores, e podem ser usados para busca semântica de dados.
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# Building Image Generation Applications
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson9-gh)
|
||||
[](https://aka.ms/gen-ai-lesson9-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
There's more to LLMs than text generation. It's also possible to generate images from text descriptions. Having images as a modality can be highly useful in a number of areas from MedTech, architecture, tourism, game development and more. In this chapter, we will look into the two most popular image generation models, DALL-E and Midjourney.
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# 第九章：构建图像生成应用
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson9-gh)
|
||||
[](https://aka.ms/gen-ai-lesson9-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
LLMs 不仅仅是文本生成。 还可以根据文本描述生成图像。 将图像作为一种模式在医疗科技、建筑、旅游、游戏开发等许多领域非常有用。 在本章中，我们将研究两种最流行的图像生成模型：DALL-E 和 Midjourney。
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# 画像生成アプリケーションの構築
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson9-gh)
|
||||
[](https://aka.ms/gen-ai-lesson9-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
LLM はテキスト生成だけでなく、テキストの説明から画像も生成できます。画像生成は、医療や建築、観光、ゲーム開発のように様々な業界において価値が高いとされています。この章では、最も人気のある 2 つの画像生成モデル、DALL-E と Midjourney について詳しく見ていきます。
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# 이미지 생성 애플리케이션 구축하기
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson9-gh)
|
||||
[](https://aka.ms/gen-ai-lesson9-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
LLM은 텍스트 생성 이상의 기능을 갖고 있습니다. 텍스트 설명으로부터 이미지를 생성하는 것도 가능합니다. 이미지를 모달리티로 사용하는 것은 MedTech, 건축, 관광, 게임 개발 등 여러 분야에서 매우 유용할 수 있습니다. 이 장에서는 가장 인기 있는 이미지 생성 모델인 DALL-E와 Midjourney에 대해 알아보겠습니다.
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# Criando aplicativos de geração de imagens
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson9-gh)
|
||||
[](https://aka.ms/gen-ai-lesson9-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
Ainda há muito mais que os LLMs podem fazer além da geração de texto. Também é possível gerar imagens a partir de descrições de texto. Ter imagens como modalidade pode ser altamente útil em uma série de áreas, desde MedTech, arquitetura, turismo, desenvolvimento de jogos e muito mais. Neste capítulo, veremos os dois modelos de geração de imagens mais populares, DALL-E e Midjourney.
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# Building Low Code AI Applications
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson10-gh)
|
||||
[](https://aka.ms/gen-ai-lesson10-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
> _(Click the image above to view video of this lesson)_
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# 第十章：创建低代码的人工智能应用
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson10-gh)
|
||||
[](https://aka.ms/gen-ai-lesson10-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
> _(点击该图片看本章导学视频)_
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# ローコード AI アプリケーションの構築
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson10-gh)
|
||||
[](https://aka.ms/gen-ai-lesson10-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
> _(上記の画像をクリックすると、レッスン・ビデオを表示します)_
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# Low Code AI 애플리케이션 개발
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson10-gh)
|
||||
[](https://aka.ms/gen-ai-lesson10-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
> _(위 이미지를 클릭하여 이 레슨의 비디오를 시청하세요)_
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# Criando Aplication de IA com Low Code
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson10-ght)
|
||||
[](https://aka.ms/gen-ai-lesson10-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
> _(Clique na imagem acima para ver o vídeo desta lição)_
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# Integrating with function calling
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson11-gh)
|
||||
[](https://aka.ms/gen-ai-lesson11-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
You've learned a fair bit so far in the previous lessons. However, we can improve further. Some things we can address are how we can get a more consistent response format to make it easier to work with the response downstream. Also, we might want to add data from other sources to further enrich our application.
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# 第十一章：为生成式 AI 添加 function calling
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson11-gh)
|
||||
[](https://aka.ms/gen-ai-lesson11-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
到目前为止，您在之前的章节中已经学到了相当多的知识。 然而，我们可以进一步改进。 可以解决的一些问题是如何获得更一致的响应格式，以便更轻松地处理下游响应。 此外，我们可能希望添加来自其他来源的数据以进一步丰富我们的应用程序。
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# Function Calling との統合
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson11-gh)
|
||||
[](https://aka.ms/gen-ai-lesson11-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
これまでのレッスンでかなり多くの内容を学びました。しかし、私たちはさらに成長できます。取り組むべき課題の一つは、一貫性のある回答フォーマットの作成です。回答フォーマットが一貫すると後続の処理はスムーズに進められます。また、他のデータ・ソースからデータを追加し、アプリケーションをさらに拡張できます。
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# Function Calling과 통합하기
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson11-gh)
|
||||
[](https://aka.ms/gen-ai-lesson11-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
지금까지 이전 레슨에서 많은 것을 배웠습니다. 그러나 더 나아갈 수 있습니다. 우리가 해결할 수 있는 몇 가지 문제는 응답 형식을 더 일관되게 만들어 응답을 더 쉽게 처리할 수 있도록 하는 것이며, 또한 응용 프로그램을 더 풍부하게 만들기 위해 다른 소스에서 데이터를 추가할 수도 있습니다.
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# Integrando com chamadas de função
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson11-gh)
|
||||
[](https://aka.ms/gen-ai-lesson11-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
Você aprendeu bastante até agora nas lições anteriores. No entanto, podemos melhorar ainda mais. Algumas coisas que podemos abordar são como podemos obter um formato de resposta mais consistente para facilitar o trabalho com a resposta a jusante. Além disso, podemos querer adicionar dados de outras fontes para enriquecer ainda mais nossa aplicação.
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# Designing UX for AI Applications
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson12-gh)
|
||||
[](https://aka.ms/gen-ai-lesson12-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
> _(Click the image above to view video of this lesson)_
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# 生成式 AI 初学者指南：第 13 章 - 保护 AI 应用
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson13-gh)
|
||||
[](https://aka.ms/gen-ai-lesson13-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## 引言
|
||||
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
[](https://aka.ms/gen-ai-lesson14-gh)
|
||||
[](https://aka.ms/gen-ai-lesson14-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
# The Generative AI Application Lifecycle
|
||||
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
[](https://aka.ms/gen-ai-lesson14-gh)
|
||||
[](https://aka.ms/gen-ai-lesson14-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
# 生成式 AI 应用生命周期
|
||||
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
# Retrieval Augmented Generation (RAG) and Vector Databases
|
||||
|
||||
[](https://aka.ms/gen-ai-lesson15-gh)
|
||||
[](https://aka.ms/gen-ai-lesson15-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
In the search applications lesson, we briefly learned how to integrate your own data into Large Language Models (LLMs). In this lesson, we will delve further into the concepts of grounding your data in your LLM application, the mechanics of the process and the methods for storing data, including both embeddings and text.
|
||||
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
[](https://aka.ms/gen-ai-lesson16-gh)
|
||||
[](https://aka.ms/gen-ai-lesson16-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Introduction
|
||||
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
[](https://aka.ms/gen-ai-lesson17-gh)
|
||||
[](https://aka.ms/gen-ai-lesson17-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
## Introduction
|
||||
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
[](https://aka.ms/gen-ai-lesson18-gh)
|
||||
[](https://aka.ms/gen-ai-lesson18-gh?WT.mc_id=academic-105485-koreyst)
|
||||
|
||||
# Fine-Tuning Your LLM
|
||||
|
||||
@ -81,7 +81,7 @@ The following resources provide step-by-step tutorials to walk you through a rea
|
||||
| Azure OpenAI | [GPT 3.5 Turbo fine-tuning tutorial](https://learn.microsoft.com/azure/ai-services/openai/tutorials/fine-tune?tabs=python-new%2Ccommand-line?WT.mc_id=academic-105485-koreyst) | Learn to fine-tune a `gpt-35-turbo-0613` model **on Azure** by taking steps to create & upload training data, run the fine-tuning job. Deploy & use the new model. |
|
||||
| Hugging Face | [Fine-tuning LLMs with Hugging Face](https://www.philschmid.de/fine-tune-llms-in-2024-with-trl?WT.mc_id=academic-105485-koreyst) | This blog post walks you fine-tuning an _open LLM_ (ex: `CodeLlama 7B`) using the [transformers](https://huggingface.co/docs/transformers/index?WT.mc_id=academic-105485-koreyst) library & [Transformer Reinforcement Learning (TRL)](https://huggingface.co/docs/trl/index?WT.mc_id=academic-105485-koreyst]) with open [datasets](https://huggingface.co/docs/datasets/index?WT.mc_id=academic-105485-koreyst) on Hugging Face. |
|
||||
| | | |
|
||||
| 🤗 AutoTrain | [Fine-tuning LLMs with AutoTrain](https://github.com/huggingface/autotrain-advanced/) | AutoTrain (or AutoTrain Advanced) is a python library developed by Hugging Face that allows finetuning for many different tasks including LLM finetuning. AutoTrain is a no-code solution and finetuning can be done in your own cloud, on Hugging Face Spaces or locally. It supports both a web-based GUI, CLI and training via yaml config files. |
|
||||
| 🤗 AutoTrain | [Fine-tuning LLMs with AutoTrain](https://github.com/huggingface/autotrain-advanced/?WT.mc_id=academic-105485-koreyst) | AutoTrain (or AutoTrain Advanced) is a python library developed by Hugging Face that allows finetuning for many different tasks including LLM finetuning. AutoTrain is a no-code solution and finetuning can be done in your own cloud, on Hugging Face Spaces or locally. It supports both a web-based GUI, CLI and training via yaml config files. |
|
||||
| | | |
|
||||
|
||||
## Assignment
|
||||
|
||||
42
README.md
42
README.md
@ -61,27 +61,27 @@ Do you have suggestions or found spelling or code errors? [Raise an issue](https
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## 🗃️ Lessons
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| # | **Lesson Link** | **Description** | **Video** | **Extra Learning** |
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| --- | -------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------- | ------------------------------------------ | ------------------------------------------------------------------------------ |
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| 00 | [Course Setup](./00-course-setup/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** How to Setup Your Development Environment | Coming Soon | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 01 | [Introduction to Generative AI and LLMs](./01-introduction-to-genai/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | [Video](https://aka.ms/gen-ai-lesson-1-gh) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 02 | [Exploring and comparing different LLMs](./02-exploring-and-comparing-different-llms/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** How to select the right model for your use case | [Video](https://aka.ms/gen-ai-lesson2-gh) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 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) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 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) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 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) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 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) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 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) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 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) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 09 | [Building Image Generation Applications](./09-building-image-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** A image generation application | [Video](https://aka.ms/gen-ai-lesson9-gh) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 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) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 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) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 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) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 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) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 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) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 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) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 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) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 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) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 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) | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| # | **Lesson Link** | **Description** | **Video** | **Extra Learning** |
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| --- | -------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------- | ------------------------------------------------------------------------------ |
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| 00 | [Course Setup](./00-course-setup/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** How to Setup Your Development Environment | Coming Soon | [Learn More](https://aka.ms/genai-collection?WT.mc_id=academic-105485-koreyst) |
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| 01 | [Introduction to Generative AI and LLMs](./01-introduction-to-genai/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) 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) |
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| 02 | [Exploring and comparing different LLMs](./02-exploring-and-comparing-different-llms/README.md?WT.mc_id=academic-105485-koreyst) | **Learn:** How to select the right 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) |
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| 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) |
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| 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) |
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| 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) |
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| 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) |
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| 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) |
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| 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) |
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| 09 | [Building Image Generation Applications](./09-building-image-applications/README.md?WT.mc_id=academic-105485-koreyst) | **Build:** A 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) |
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| 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) |
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| 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) |
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| 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) |
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| 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) |
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| 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) |
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| 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) |
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| 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) |
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| 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) |
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| 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) |
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### 🌟 Special thanks
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