In the video ‘Llama 3 tool calling agents with Firefunction-v2′ by LangChain, the presenter demonstrates how to use the Firefunction-v2 model for tool calling. Firefunction-v2, built on Llama 3 70b, is fine-tuned specifically for tool calling and is reported to be competitive with GPT-4-o in terms of function calling but faster and less expensive. The video explains the concept of tool use, which expands a model’s capabilities by connecting it to external tools and APIs, allowing it to convert natural language requests into function calls. The presenter walks through setting up and using Firefunction-v2 with a weather tool example and then evaluates its performance on a small SQL agent challenge. The evaluation shows that Firefunction-v2 performs on par with GPT-4-o in terms of function calling, making it a promising option for building agents and other applications requiring function calling.