Harness LLMs with Multi-Agent Programming
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Updated
Jun 12, 2024 - Python
Harness LLMs with Multi-Agent Programming
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
Production ready AI agent framework
🤯 Lobe Chat - an open-source, modern-design LLMs/AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Bedrock / Azure / Mistral / Perplexity ), Multi-Modals (Vision/TTS) and plugin system. One-click FREE deployment of your private ChatGPT chat application.
Command Your World with Voice
Separation of planning concerns in ReAct-style agents. Planner fine-tuning on synthetic trajectories.
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.
Structured outputs for LLMs
Composio equips agents with well-crafted tools empowering them to tackle complex tasks
All-in-one AI CLI tool that integrates 20+ AI platforms, including OpenAI, Azure-OpenAI, Gemini, Claude, Mistral, Cohere, VertexAI, Bedrock, Ollama, Ernie, Qianwen, Deepseek...
An intuitive approach to building with LLMs
Laravel Package for Tool Use (Function Calling)
kani (カニ) is a highly hackable microframework for chat-based language models with tool use/function calling. (NLP-OSS @ EMNLP 2023)
openai function calling demo that gets customizable weather information
Extend LLM with functions written in bash/js/python.
TutorAI is a RAG system capable of assisting with learning academic subjects and using the curriculum and citing it. The project revolves around building an application that ingests a textbook in most formats and facilitates efficient learning of the course material.
AI Gateway for LLM at Scale
A mixture of Gen AI cookbook recipes for Gen AI applications.
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