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Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
Generative Agents: Interactive Simulacra of Human Behavior
prompt2model - Generate Deployable Models from Natural Language Instructions
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A set of vim, zsh, git, and tmux configuration files.
沉浸式双语网页翻译扩展 , 支持输入框翻译， 鼠标悬停翻译， PDF, Epub, 字幕文件, TXT 文件翻译 - Immersive Dual Web Page Translation Extension
An open-source tool-augmented conversational language model from Fudan University
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
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.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
GPT4All: Chat with Local LLMs on Any Device
一个用于在 macOS 上平滑你的鼠标滚动效果或单独设置滚动方向的小工具, 让你的滚轮爽如触控板 | A lightweight tool used to smooth scrolling and set scroll direction independently for your mouse on macOS
A new markup-based typesetting system that is powerful and easy to learn.
🦜🔗 Build context-aware reasoning applications
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, m…
LlamaIndex is a data framework for your LLM applications
Code and documentation to train Stanford's Alpaca models, and generate the data.