Advanced Function Calling with Mistral-7B - Multi function and Nested Tool Usage

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Testing Multi and Nested Function Calls with Mistral 7b

In this video, I explore the advanced function calling capabilities of the Mistral 7b v3 model, including multi-function and nested function calls. Using a Google Colab notebook by Uncle Code, I demonstrate how to set up, install the Mistral inference package, and log into Hugging Face hub. Practical examples of the model handling multiple and sequential function calls are provided. Check the description for related links and detailed how-tos.

#llm #mistral #functioncalling

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00:00 Introduction to Advanced Function Calling in Mistral 7b
00:44 Understanding the Basics of Function Calling
02:54 Exploring Multi and Nested Function Calls
04:14 Deep Dive into Uncle Code's Notebook and Setup
06:13 Single Function Call Example and Analysis
08:16 Testing Multi Function Calls
09:28 Unpacking Nested Function Calls with Examples
12:30 Experimenting with Mixed Function Calls and Conclusion

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Really appreciate you creating this content and giving me credit. I have to admit that your term "nested tool" is much better than my "function dependency." 😅 I was trying to find a good term, and yours is definitely better. Again, thank you so much for reviewing this. Hopefully, it can help your audience. I'm a fan of your content and channels, and I wish you and everyone contributing to the open-source community the best. May the force be with you.

unclecode

I have been building agents with the old Mixtral 8x7B and Mistral 0.2, and I have to say Mixtral many times outperforms models that have been trained for function calling, eager to see how this new Mistral performs..

ernestuz

Looking forward for a langgraph implementation of this

MustafaMagdy

Maybe this question not about this video topic. But i want to know how i can create on my php web site smart search based on some local storages llm.

Boudybuilder

Can this model have a conversation with the user and call the appropriate functions when necessary and use those function results to answer the question asked by the user in a conversational manner?

rpvvoqe

cool does it also work with GGUF model ?

luigitech

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