Popular GitHub Repositories for Llm4rs

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Elixir implementation of a LangChain style framework that lets Elixir projects integrate with and leverage LLMs.

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

? Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

Make websites accessible for AI agents

Examples and guides for using the OpenAI API

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A natural language interface for computers

? The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

A high-throughput and memory-efficient inference and serving engine for LLMs

CLI platform to experiment with codegen. Precursor to: https://lovable.dev

A programming framework for agentic AI ? PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour

The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, and more.

Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! ?

LlamaIndex is the leading framework for building LLM-powered agents over your data.

?「AI 低代码平台」前后端分离 SpringBoot 2.x/3.x，SpringCloud，Ant Design&Vue3，Mybatis，Shiro！强大的代码生成器让前后端代码一键生成，无需写任何代码! 引领AI低代码开发模式 AI生成->OnlineCoding->代码生成->手工MERGE，帮助Java项目解决80%重复工作，让开发更关注业务，提高开发效率、节省成本，同时又不失灵活性