The official GitHub page for the survey paper "A Survey of Large Language Models".

This repository contains demos I made with the Transformers library by HuggingFace.

Crosslingual Generalization through Multitask Finetuning

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Instruct-tune LLaMA on consumer hardware

Instruction Tuning with GPT-4

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.

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

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

BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model —— 一个中文低资源的llama+lora方案，结构参考alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

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

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

PyTorch original implementation of Cross-lingual Language Model Pretraining.

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

👩🏿‍💻👨🏾‍💻👩🏼‍💻👨🏽‍💻👩🏻‍💻中国独立开发者项目列表 -- 分享大家都在做什么

Human Activity Recognition Using Convolutional Neural Network in Keras

LAVIS - A One-stop Library for Language-Vision Intelligence

PyTorch code for MUST

Code for ALBEF: a new vision-language pre-training method

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

Linux命令大全搜索工具，内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux

Efficient few-shot learning with Sentence Transformers

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Minimal keyword extraction with BERT

Robust fine-tuning of zero-shot models

An open source implementation of CLIP.