LLMsNineStoryDemonTower
LLM exploration
Exploring various LLMs and their applications in natural language processing and related areas
【LLMs九层妖塔】分享 LLMs在自然语言处理(ChatGLM、Chinese-LLaMA-Alpaca、小羊驼 Vicuna、LLaMA、GPT4ALL等)、信息检索(langchain)、语言合成、语言识别、多模态等领域(Stable Diffusion、MiniGPT-4、VisualGLM-6B、Ziya-Visual等)等 实战与经验。
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last commit: over 2 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
| Korea University Large Language Model developed by researchers at Korea University and HIAI Research Institute. | 576 | |
| A collection of information about various large language models used in natural language processing | 272 | |
| A curated list of commercial-use large language models | 11,314 | |
| Provides insights and practical guides for building and using large language models. | 427 | |
| An effort to develop and compare large language models beyond OpenGPT | 105 | |
| Enables users to interact with large language models within Neovim for tasks like code optimization and translation. | 65 | |
| Builds composable LLM applications with Java | 295 | |
| An open-source implementation of a Chinese-language LLaMa2 chat model for seamless multiround conversations | 89 | |
| An LLaMA-based multimodal language model with various instruction-following and multimodal variants. | 17 | |
| A benchmark for evaluating large language models in multiple languages and formats | 93 | |
| A multi-modal large language model that integrates natural language and visual capabilities with fine-tuning for various tasks | 73 | |
| Develops and deploys a large language model for Chinese traditional medicine applications | 316 | |
| A collection of papers on the use of large language models in agent-based systems | 1,960 | |
| An interface for integrating large language models into Neovim, enabling chat functionality and other LLM-based capabilities. | 263 | |
| An open bilingual LLM developed using the LingoWhale model, trained on a large dataset of high-quality middle English text, and fine-tuned for specific tasks such as conversation generation. | 134 |