#大语言模型#现代化设计的开源 ChatGPT/LLMs 聊天应用与开发框架支持语音合成、多模态、可扩展的（function call）插件系统。一键免费拥有你自己的 ChatGPT/Gemini/Claude/Ollama 应用
#大语言模型#Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling
#大语言模型#Harness LLMs with Multi-Agent Programming
#大语言模型#AI agent microservice
#Awesome#Resource list for generating JSON using LLMs via function calling, tools, CFG. Libraries, Models, Notebooks, etc.
#大语言模型#🦖 Stateful Serverless Framework for Geo-distributed Edge AI Infra. with function calling support, write once, run on any model.
#自然语言处理#[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling
#大语言模型#Chat language model that can use tools and interpret the results
#大语言模型#Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level
#大语言模型#LLM abstractions that aren't obstructions
#大语言模型#AI as Workspace - A better AI (LLM) client. Full-featured, lightweight. Support multiple workspaces, plugin system, cross-platform, local first + real-time cloud sync, Artifacts, MCP | 更好的 AI 客户端
#向量搜索引擎#This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!
#大语言模型#HumanLayer enables AI agents to communicate with humans in tool-based and async workflows. Guarantee human oversight of high-stakes function calls with approval workflows across slack, email and more....
#大语言模型#kani (カニ) is a highly hackable microframework for chat-based language models with tool use/function calling. (NLP-OSS @ EMNLP 2023)
#大语言模型#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 ou...
Introducing the Assistant Swarm. An extension to the OpenAI Node SDK to automatically delegate work to any assistant you create in OpenAi through one united interface and manager. Now you can delegate...
#大语言模型#🧬 Helix is a private GenAI stack for building AI applications with declarative pipelines, knowledge (RAG), API bindings, and first-class testing.