Advanced Function Calling with Mistral-7B

In the video titled ‘Advanced Function Calling with Mistral-7B – Multi function and Nested Tool Usage,’ the channel Prompt Engineering demonstrates the advanced function calling capabilities of the Mistral 7b v3 model. The video explores how the model handles multi-function and nested function calls using a Google Colab notebook by Uncle Code. The process involves setting up the Mistral inference package, logging into Hugging Face hub, and running practical examples of the model performing multiple and sequential function calls. The video explains the importance of function calling in allowing models to interact with external APIs for tasks they cannot perform based on internal knowledge alone. Examples include retrieving current weather conditions and stock market analysis. The video showcases the model’s ability to decompose user queries into multiple operations, execute parallel function calls, and handle sequential function calls where the output of one function serves as the input for another. The video emphasizes the use of system messages to ensure the correct formatting of function call outputs. Overall, the Mistral 7b v3 model proves to be effective in advanced function calling, enhancing its utility beyond simple chat assistance.