Mistral AI API - Mixtral 8x7B and Mistral Medium | Tests and First Impression | Summary and Q&A

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December 14, 2023
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All About AI
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Mistral AI API - Mixtral 8x7B and Mistral Medium | Tests and First Impression

TL;DR

Mistol AI API is tested for reasoning skills, math, and coding problems, showcasing its capabilities compared to GPT-3.5 and GPT-4.

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Key Insights

  • 🌍 The Mistol AI API outperforms GPT-3.5 in reasoning tasks, providing accurate responses to the shirt problem and the world problem.
  • đŸ’Ē GPT-4 exhibits strong reasoning abilities and performs well in solving the given prompts.
  • đŸ›Šī¸ The Mistol AI API pricing is competitive, particularly the small model which is cheaper than GPT-3.5 Turbo.
  • 🎏 The streaming feature of the Mistol AI API streamlines text generation in chunks, offering an efficient solution.
  • 🤗 Further exploration of other APIs and open-source options is planned, including Anthropic and OpenAI's GPT-7B.
  • 💁 Excitement surrounds the medium model of the Mistol AI API, with anticipation for more information and benchmarks.

Transcript

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Questions & Answers

Q: How does the Mistol AI API compare to GPT-3.5 and GPT-4 in terms of reasoning skills?

Mistol AI API outperforms GPT-3.5 in reasoning skills by correctly addressing the shirt problem and the world problem. GPT-4 also performs well in these scenarios.

Q: Does the Mistol AI API provide accurate answers for math and coding problems?

The Mistol AI API provides accurate answers for math and coding problems, although it falls short in providing the complete code for a Python snake game when compared to GPT-4.

Q: How does the Mistol AI API pricing compare to GPT-3.5 Turbo?

Mistol AI API's medium model is priced at â‚Ŧ7.5 per 1 million tokens, which is similar to GPT-3.5 Turbo. The small model is slightly cheaper than GPT-3.5 Turbo.

Q: Is the streaming feature of the Mistol AI API efficient?

The streaming feature of the Mistol AI API allows for quick generation of multiple paragraphs, making it a convenient option for generating text in chunks.

Summary & Key Takeaways

  • The Mistol AI API is explored, featuring a basic setup with different models available for selection.

  • The pricing and competitiveness of the Mistol AI API in comparison to GPT-3.5 Turbo are discussed.

  • Testing is conducted on different prompts, including a shirt problem, a world problem, and a Python coding problem.

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