Stars
大模型应用开发的方向,上下文工程是设计原则,Agent Harness 是构建目标,本项目的目标,是为开发者和研究者提供一份大模型应用开发的骨架思路
https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习|数据合成
达尔文.skill —— 一个让你的Skill无限进化的系统:评估→改进→测试→保留或回滚 | Autoresearch-inspired autonomous skill optimization for Claude Code. Evaluate, improve, test, keep or revert.
Train your Agent model via our easy and efficient framework
Agent Skills 终极指南:快速入门、资源推荐、精选技能与实用工具 |The Ultimate Guide to Agent Skills: QuickStart, Resources, Features&Toolkit
结合知识库、知识图谱管理的 多租户 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
收集全网 Android TV电视盒子应用,涵盖影视、直播、K歌、工具、游戏等类型,整理优质APK资源,支持便捷下载与自动更新。提供安全验证、分类索引与兼容性标注,助力用户打造家庭影音娱乐中心! ✅ TVBox/影视仓等影音壳接口配置源。
TrustRAG:The RAG Framework within Reliable input,Trusted output
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
一款通过电影、美剧或文档中的真实语境学习英语单词的应用,让您在原汁原味的情境中记忆词汇,提升学习效率。
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Toolkit to segment text into sentences or other semantic units in a robust, efficient and adaptable way.
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
Implementation of my RAG system that won all categories in Enterprise RAG Challenge 2
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
每个人都能看懂的大模型知识分享,LLMs春/秋招大模型面试前必看,让你和面试官侃侃而谈
Large Language Model Text Generation Inference
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)