Mistral Function Calling - Integrate Your Application to AI

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AI Summary

- Introduction to function calling in Mistol  
  - Allows integration of custom applications with Mistol's large language model.  
  - Example: Integrating a real-time stock price tool with Mistol.  
  
- Function calling enables Mistol to:  
  - Respond with accurate data by using external applications.  
  - Example: Getting the current stock price of Apple.  
  
- Tutorial Overview  
  - Demonstrates integrating a stock price application and checking payment status.  
  - Step-by-step implementation guide.  
  - Encourages subscribing to the YouTube channel for AI content.  
  
- Setup Instructions  
  - Install necessary packages: `mral AI`, `pandas`, `yfinance`, `Rich`.  
  - Export `mral API` key.  
  - Create `app.py` and import required modules.  
  
- Implementing Function Calling  
  - Define the model and initiate the class with `Mr client` and `chat message`.  
  - Run the model without function calling to see the default response.  
  - Add function calling to get an accurate response.  
  - Define `get_stock_price` function and schema for Mistol to understand.  
  - Use `tools` and `tools_choice` parameters in `client.chat` to enable function calling.  
  - Append responses to maintain conversation history.  
  - Parse the function call response, execute the function, and return the result.  
  - Run the updated code to see Mistol providing the current stock price of Apple.  
  
- Additional Example: Checking Payment Status  
  - Define tools for payment status retrieval.  
  - Mistol asks for transaction ID if not provided.  
  - Execute the function to check payment status and return the result.  
  - Run the code to see the payment status response from Mistol.  
  
- Conclusion  
  - Demonstrates the power of integrating custom applications with Mistol.  
  - Encourages engagement with the video (likes, shares, subscriptions).