Notebook detailing the use of RAG (Retrieval-Augmented Generation) via function calling.
MCP is an open-source standard that enhances interaction between AI systems and various data sources, improving usability, response quality, and security.
TinyAgent is designed to enable complex reasoning and function calling capabilities in Small Language Models (SLMs) for secure and private edge deployment. It interacts with MacOS applications for tasks like composing emails, scheduling events, and organizing meetings.
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.
