Stuck in Tutorial Hell? Learn Backend Dev the Right Way
AI, Data Science & Cloud Certificates from Google, IBM & Meta
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
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.
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