#大语言模型#A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
#大语言模型#Harness LLMs with Multi-Agent Programming
#大语言模型#Automatable GenAI Scripting
The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM Observability all in one place.
#大语言模型#AICI: Prompts as (Wasm) Programs
No-code multi-agent framework to build LLM Agents, workflows and applications with your data
#自然语言处理#[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling
[GenAI Application Development Framework] 🚀 Build GenAI application quick and easy 💬 Easy to interact with GenAI agent in code using structure data and chained-calls syntax 🧩 Use Agently Workflow ...
Low code tool to rapidly build and coordinate multi-agent teams
#数据仓库#Langtrace 🔍 is an open-source, Open Telemetry based end-to-end observability tool for LLM applications, providing real-time tracing, evaluations and metrics for popular LLMs, LLM frameworks, vectorD...
#大语言模型#Your 24/7 On-Call AI Agent - Solve Alerts Faster with Automatic Correlations, Investigations, and More
#大语言模型#Minimalist LLM Framework in 100 Lines. Enable LLMs to Program Themselves.
#大语言模型#Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.
#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...
InternEvo is an open-sourced lightweight training framework aims to support model pre-training without the need for extensive dependencies.
#大语言模型#Build, Improve Performance, and Productionize your LLM Application with an Integrated Framework
Integrating AI into every workflow with our open-source, no-code platform, powered by the actor model for dynamic, graph-based solutions.
The TypeScript framework for agents & workflows with react-like components. Lightning fast dev loop. Easy to learn. Easy to extend.
#大语言模型#Super-Efficient RLHF Training of LLMs with Parameter Reallocation
#大语言模型#FineTune LLMs in few lines of code (Text2Text, Text2Speech, Speech2Text)