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Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
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。
The official gpt4free repository | various collection of powerful language models | opus 4.6 gpt 5.3 kimi 2.5 deepseek v3.2 gemini 3
🧠 Train a 64M-parameter LLM from scratch in just 2h!
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Build and run agents you can see, understand and trust.
Python scraper based on AI
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Universal LLM Deployment Engine with ML Compilation
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
Machine Learning Engineering Open Book
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Ongoing research training transformer models at scale
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Automated Penetration Testing Agentic Framework Powered by Large Language Models
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型