Getting Started with Mistral - Syllabus

• Introduction
  • Introduction to Mistral AI models and key features
  • Course objectives and overview of Mistral’s capabilities
• Overview
  • Exploring Mistral’s open source and commercial models
  • Understanding model access via web interface and API
• Prompting
  • Effective prompting techniques for various model tasks
  • Code examples for interacting with Mistral models
• Model Selection
  • Choosing the right model for different tasks and complexities
  • Considerations for speed and response requirements
• Function Calling
  • Using Mistral’s native function calling with Python functions
  • Performing tasks like web searches or database queries
• RAG from Scratch
  • Building a Retrieval Augmented Generation (RAG) system
  • Implementing similarity search, chunking, and embeddings
• Chatbot
  • Building a chat interface to interact with Mistral models
  • Setting up a chat to answer questions about uploaded documents
• Conclusion
  • Recap of course concepts and next steps with Mistral AI