Apr 23
Learn how to implement function calling for the Tiny LLaMA model, optimizing its capabilities for efficient and effective task execution
Function calling is a key technique that turns language models into intelligent agents. This blog demonstrates how to implement it in Tiny LLaMA by defining functions, parsing prompts, and executing tasks dynamically. It also explains how structured prompting helps the model decide when to call a function. The approach is ideal for creating efficient AI assistants and edge-based LLM applications without heavy computational resources.
