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Scrimba

Intro to Mistral AI

via Scrimba

Overview

Learn how to use the Mistral AI to build intelligent apps, all the way from simple chat completions to advanced use-cases like RAG and function calling. Created in collaboration between Mistral AI and Scrimba.
  • La Plateforme
  • Chat Completions API
  • Streaming
  • Mistral 7B
  • Mistral 8x7B
  • Mistral's commercial models
  • Embeddings
  • Vectors
  • Setting up a vector database
  • Semantic search
  • Chunking with LangChain
  • RAG
  • AI agents
  • Function calling
  • Ollama
  • Running models locally

Syllabus

  • Intro to Mistral AI
    • 1. Welcome to the course
    • 2. Intro to Mistral by Sophia Yang
    • 3. Sign up for La Plateforme
    • 4. Mistral's Chat Completion API
    • 5. Mistral's Chat Completion API - part 2
    • 6. Mistral's models
    • 7. What is RAG?
    • 8. What are embeddings?
    • 9. RAG - Chunking text with LangChain
    • 10. RAG - Completing the splitDocument function
    • 11. RAG - Creating our very first embedding
    • 12. RAG - Challenge: embedding all chunks and preparing it for the vector db
    • 13. Set up your vector database
    • 14. Vector databases
    • 15. RAG - Uploading data to the vector db
    • 16. RAG - Query and Create completion
    • 17. RAG - Improve the retrieval and complete the generation
    • 18. Function calling
    • 19. Function calling - Adding a second function
    • 20. Function calling - Unpacking the function and arguments
    • 21. Function calling - Making the call
    • 22. Function calling - Updating the messages array
    • 23. Function calling - Creating the loop
    • 24. Running Mistral locally
    • 25. Outro & recap - Mistral AI

Reviews

5.0 rating, based on 1 Class Central review

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  • This course is approximately 90 minutes in length, or longer if you decide to code along.

    While simple, it brings together a number of different concepts, such as RAG, Vectors, Embeddings, and Function Calling, into a single course with working code examples in JavaScript that you can experiment with directly in your browser.

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