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|[langchain](https://github.com/hwchase17/langchain)||Building applications with LLMs through composability|开发自己的 ChatGPT 应用|
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|[gpt4free](https://github.com/xtekky/gpt4free)||提供 GPT-4/3.5 的来自各种网站的逆向 API,来自 ChatGPT、poe.com 等各种网站,可以像Openai的官方软件包一样使用。|免费的编程接口!还有 GPT-4 !不错!|
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|[openai-cookbook](https://github.com/openai/openai-cookbook)||Examples and guides for using the OpenAI API|OpenAI API 官方使用指南|
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|[gpt4all](https://github.com/nomic-ai/gpt4all) ||基于 LLaMa 的 LLM 助手,提供训练代码、数据和演示,训练一个自己的 AI 助手。|-|
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| [🧠ChatGPT 中文调教指南](https://github.com/PlexPt/awesome-chatgpt-prompts-zh) |  | - | 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。 |
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|[lencx/ChatGPT](https://github.com/lencx/ChatGPT)||基于 tauri 的跨平台 ChatGPT 客户端, 支持: Windows, Linux, MacOS, 应用内嵌入 ChatGPT 网页.| 需要翻墙。|
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|[ChatGPT-Next-Web](https://github.com/Yidadaa/ChatGPT-Next-Web) ||One-Click to deploy well-designed ChatGPT web UI on Vercel. |一键拥有你自己的 ChatGPT 网页服务。|
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| [Prompt Engineering Guide](https://github.com/dair-ai/Prompt-Engineering-Guide) |  | 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering | 提示工程的指南、论文、讲座、笔记本和资源 |
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|[gpt-engineer](https://github.com/AntonOsika/gpt-engineer)||Specify what you want it to build, the AI asks for clarification, and then builds it.|用 GPT 编写整个项目代码!|
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|[Open-Assistant](https://github.com/LAION-AI/Open-Assistant)||-|知名 AI 机构 LAION-AI 开源的聊天助手,聊天能力很强,目前中文能力较差。|
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|[llama.cpp](https://github.com/ggerganov/llama.cpp)||-|实现在MacBook上运行模型。|
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|[privateGPT](https://github.com/imartinez/privateGPT)||基于 Llama 的本地私人文档助手|-|
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|[ChatGLM-6B](https://github.com/THUDM/ChatGLM-6B) ||ChatGLM-6B: An Open Bilingual Dialogue Language Model |ChatGLM-6B 是清华出品的开源的支持中英双语的对话语言模型。|
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|[Stanford Alpaca](https://github.com/tatsu-lab/stanford_alpaca) ||来自斯坦福,建立并共享一个遵循指令的LLaMA模型。|-|
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|[AgentGPT](https://github.com/reworkd/AgentGPT) ||Assemble, configure, and deploy autonomous AI Agents in your browser.|-|
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|[JARVIS](https://github.com/microsoft/JARVIS)||A system to connect LLMs with ML community.|-|
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|[babyagi](https://github.com/yoheinakajima/babyagi)||Use OpenAI and Pinecone APIs to create, prioritize, and execute tasks.|[中文博客-babyagi: 人工智能任务管理系统](https://juejin.cn/post/7218815501433946173)|
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@ -12,7 +12,6 @@ OpenAI 的 ChatGPT 大型语言模型(LLM)并未开源,这部分收录一
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|[dolly](https://github.com/databrickslabs/dolly) |  | Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform |Databricks 发布的 Dolly 2.0 大语言模型。业内第一个开源、遵循指令的 LLM,它在透明且免费提供的数据集上进行了微调,该数据集也是开源的,可用于商业目的。这意味着 Dolly 2.0 可用于构建商业应用程序,无需支付 API 访问费用或与第三方共享数据。|
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|[Falcon 40B](https://huggingface.co/tiiuae/falcon-40b-instruct) | | Falcon-40B-Instruct is a 40B parameters causal decoder-only model built by TII based on Falcon-40B and finetuned on a mixture of Baize. It is made available under the Apache 2.0 license. |-|
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|[FastChat (Vicuna)](https://github.com/lm-sys/FastChat) |  | An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and FastChat-T5. |继草泥马(Alpaca)后,斯坦福联手CMU、UC伯克利等机构的学者再次发布了130亿参数模型骆马(Vicuna),仅需300美元就能实现ChatGPT 90%的性能。|
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|[GLM-6B (ChatGLM)](https://github.com/THUDM/ChatGLM-6B) |  | An Open Bilingual Pre-Trained Model, quantization of ChatGLM-130B, can run on consumer-level GPUs. |
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|[GLM-130B (ChatGLM)](https://github.com/THUDM/GLM-130B) |  | An Open Bilingual Pre-Trained Model (ICLR 2023) |
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|[GPT-NeoX](https://github.com/EleutherAI/gpt-neox) |  | An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library. |
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|[Luotuo](https://github.com/LC1332/Luotuo-Chinese-LLM) |  | An Instruction-following Chinese Language model, LoRA tuning on LLaMA| 骆驼,中文大语言模型开源项目,包含了一系列语言模型。|
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