Stars
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
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
A framework for large scale recommendation algorithms.
GraphRAG / From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
🔥🔥🔥AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.
Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow
Adala: Autonomous DAta (Labeling) Agent framework
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
Chat凉宫春日, An open sourced Role-Playing chatbot Cheng Li, Ziang Leng, and others.
BELLE: Be Everyone's Large Language model Engine(开源中文对话大模型)
Speech To Speech: an effort for an open-sourced and modular GPT4-o
The Open Source Memory Layer For Autonomous Agents
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
Multilingual Voice Understanding Model
A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.
Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
DSPy: The framework for programming—not prompting—language models
Start building LLM-empowered multi-agent applications in an easier way.
GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型
Awesome-LLM: a curated list of Large Language Model
Examples and guides for using the OpenAI API