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42 lines
2.3 KiB
Markdown
42 lines
2.3 KiB
Markdown
# Benchmark analysis
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# Local models
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The two websites benchmark are:
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- Example 1: https://perinim.github.io/projects
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- Example 2: https://www.wired.com (at 17/4/2024)
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Both are strored locally as txt file in .txt format because in this way we do not have to think about the internet connection
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The time is measured in seconds
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The model runned for this benchmark is Mistral on Ollama with nomic-embed-text
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| Hardware | Example 1 | Example 2 |
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| ----------------------- | --------- | --------- |
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| Macbook pro 14' m1 | 11.60s | 26.61s |
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| Macbook pro 16' m2 max | 8.05s | 12.17s |
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**Note**: the examples on Docker are not runned on other devices than the Macbook because the performance are to slow (10 times slower than Ollama). Indeed the results are the following:
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| Hardware | Example 1 | Example 2 |
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| ------------------ | --------- | --------- |
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| Macbook 14' m1 pro | 139.89 | Too long |
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# Performance on APIs services
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### Example 1: personal portfolio
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**URL**: https://perinim.github.io/projects
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**Task**: List me all the projects with their description.
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| Name | Execution time (seconds) | total_tokens | prompt_tokens | completion_tokens | successful_requests | total_cost_USD |
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| ------------------- | ------------------------ | ------------ | ------------- | ----------------- | ------------------- | -------------- |
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| gpt-3.5-turbo | 25.22 | 445 | 272 | 173 | 1 | 0.000754 |
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| gpt-4-turbo-preview | 9.53 | 449 | 272 | 177 | 1 | 0.00803 |
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### Example 2: Wired
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**URL**: https://www.wired.com
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**Task**: List me all the articles with their description.
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| Name | Execution time (seconds) | total_tokens | prompt_tokens | completion_tokens | successful_requests | total_cost_USD |
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| ------------------- | ------------------------ | ------------ | ------------- | ----------------- | ------------------- | -------------- |
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| gpt-3.5-turbo | 25.89 | 445 | 272 | 173 | 1 | 0.000754 |
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| gpt-4-turbo-preview | 64.70 | 3573 | 2199 | 1374 | 1 | 0.06321 |
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