财务会计软件

Code Push for Flutter and other tools for Flutter businesses.

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

模块接口服务，如何在一个模块内维护其对外暴露的接口（包括打包发布），而不是把接口和接口实现分离到两个不同的模块？

FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.

在vscode插件中结合chatgpt能力，实现智能研发提效

💡 Easily write powerful Dart & Flutter lint rules for your projects or for users of your packages.

LlamaIndex is a data framework for your LLM applications

Code for fintune ChatGLM-6b using low-rank adaptation (LoRA)

《AI 研发提效：自己动手训练 LoRA》，包含 Llama （Alpaca LoRA）模型、ChatGLM （ChatGLM Tuning）相关 Lora 的训练。训练内容：用户故事生成、测试代码生成、代码辅助生成、文本转 SQL、文本生成代码……

Code and documentation to train Stanford's Alpaca models, and generate the data.

Instruct-tune LLaMA on consumer hardware

LangChain 的中文入门教程

🦜🔗 Build context-aware reasoning applications

text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。

Tensors and Dynamic neural networks in Python with strong GPU acceleration

基于ChatGLM-6B + LoRA的Fintune方案

闻达：一个LLM调用平台。目标为针对特定环境的高效内容生成，同时考虑个人和中小企业的计算资源局限性，以及知识安全和私密性问题

基于LangChain和ChatGLM-6B等系列LLM的针对本地知识库的自动问答

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Stable Diffusion web UI

Inference code for Llama models

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

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.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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