Explore the power of function calling in Large Language Models (LLMs) through this comprehensive tutorial video. Learn how to enable Llama 3 to interact with a habit-tracking application by providing a set of functions. Discover the process of selecting an appropriate LLM for function calling, understand the mechanics behind this capability, and follow along with a Google Colab setup. Dive into the creation of a habit tracker app, define the necessary tools, and master function argument mapping. Gain insights into effective prompting techniques for function calling and tool use, and explore how to implement a sequence of function calls using chat history. By the end of this 27-minute tutorial, acquire the skills to harness the potential of LLM function calling in your own projects.
LLM Function Calling with Llama 3 - Tool Choice, Argument Mapping, and Groq Llama 3 Tool Use
Overview
Syllabus
- Function calling with LLMs?
- Text tutorial on MLExpert.io
- Choosing LLM for function calling
- How function calling works
- Google Colab setup
- Habit tracker app
- Tools definition
- Function arguments mapping
- Prompting for function calling tool use
- Sequence of function calls with chat history
- Conclusion
Taught by
Venelin Valkov
