Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling
Learn how to fine-tune large language models like Llama 3 for function calling, enabling interaction with external tools and APIs for tasks like web search and math operations.
Learn how to build an open LLM app using Hermes 2 Pro, a powerful LLM based on Meta's Llama 3 architecture. This tutorial explains how to deploy Hermes 2 Pro locally, create a function to track flight status using FlightAware API, and integrate it with the LLM.
This article describes the process of implementing function-calling in an AI system, specifically using the Mistral AI platform. The example showcases the development of an assistant that can manage a home automation system through natural language interactions with the user, including the use of available functions, function logic, and the integration of these functions into the AI system.
A tutorial showing you how how to bring real-time data to LLMs through function calling, using OpenAI's latest LLM GTP-4o.
Phidata is a new framework for creating autonomous assistants that overcome the limitations of traditional large language models by integrating long-term memory, contextual knowledge, and actionable tools.
Learn about function calling in Large Language Models (LLMs) and the list of commercial and open source LLMs suitable for function calling.
