✨✨✨ Behold our meticulously curated trove of Multimodal Large Language Models (MLLM) resources! 📚🔍 Feast your eyes on an assortment of datasets, techniques for tuning multimodal instructions, methods for multimodal in-context learning, approaches for multimodal chain-of-thought, visual reasoning aided by gargantuan language models, foundational models, and much more. 🌟🔥

✨✨✨ This compilation shall forever stay in sync with the vanguard of breakthroughs in the realm of MLLM. 🔄 We are committed to its perpetual evolution, ensuring that you never miss out on the latest developments. 🚀💡

✨✨✨ And hold your breath, for we are diligently crafting a survey paper on MLLM, which shall soon grace the world with its wisdom. Stay tuned for its grand debut! 🎉📑

• Awesome Papers
  • Multimodal Instruction Tuning
  • Multimodal In-Context Learning
  • Multimodal Chain-of-Thought
  • LLM-Aided Visual Reasoning
  • Foundation Models
  • Others
• Awesome Datasets
  • Datasets of Pre-Training for Alignment
  • Datasets of Multimodal Instruction Tuning
  • Datasets of In-Context Learning
  • Datasets of Multimodal Chain-of-Thought
  • RLHFdataset

• llm-course - Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
• Mixtral 8x7B - a high-quality sparse mixture of experts model (SMoE) with open weights.
• promptbase - All things prompt engineering.
• ollama - Get up and running with Llama 2 and other large language models locally.
• anything-llm - A private ChatGPT to chat with anything!
• phi-2 - a 2.7 billion-parameter language model that demonstrates outstanding reasoning and language understanding capabilities, showcasing state-of-the-art performance among base language models with less than 13 billion parameters.

• [2023/10] Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond Liang Chen et al. arXiv. [paper] [code]
  • This work proposes PCA-EVAL, which benchmarks embodied decision making via MLLM-based End-to-End method and LLM-based Tool-Using methods from Perception, Cognition and Action Levels.
• [2023/08] A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity. Yejin Bang et al. arXiv. [paper]
  • This work evaluates the multitask, multilingual and multimodal aspects of ChatGPT using 21 data sets covering 8 different common NLP application tasks.
• [2023/06] LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models. Yen-Ting Lin et al. arXiv. [paper]
  • The LLM-EVAL method evaluates multiple dimensions of evaluation, such as content, grammar, relevance, and appropriateness.
• [2023/04] Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation. Tao Fang et al. arXiv. [paper]
  • The results of evaluation demonstrate that ChatGPT has excellent error detection capabilities and can freely correct errors to make the corrected sentences very fluent. Additionally, its performance in non-English and low-resource settings highlights its potential in multilingual GEC tasks.

• [2023/06] Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models. Natalie Shapira et al. arXiv. [paper]
  • LLMs exhibit certain theory of mind abilities, but this behavior is far from being robust.
• [2022/08] Inferring Rewards from Language in Context. Jessy Lin et al. ACL. [paper]
  • This work presents a model that infers rewards from language and predicts optimal actions in unseen environment.
• [2021/10] Theory of Mind Based Assistive Communication in Complex Human Robot Cooperation. Moritz C. Buehler et al. arXiv. [paper]
  • This work designs an agent Sushi with an understanding of the human during interaction.

• [2023/10] MemGPT: Towards LLMs as Operating Systems. Charles Packer (UC Berkeley) et al. arXiv. [paper] [project page] [code] [dataset]
• [2023/05] Randomized Positional Encodings Boost Length Generalization of Transformers. Anian Ruoss (DeepMind) et al. arXiv. [paper] [code]
• [2023-03] CoLT5: Faster Long-Range Transformers with Conditional Computation. Joshua Ainslie (Google Research) et al. arXiv. [paper]
• [2022/03] Efficient Classification of Long Documents Using Transformers. Hyunji Hayley Park (Illinois University) et al. arXiv. [paper] [code]
• [2021/12] LongT5: Efficient Text-To-Text Transformer for Long Sequences. Mandy Guo (Google Research) et al. arXiv. [paper] [code]
• [2019/10] BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. Michael Lewis (Facebook AI) et al. arXiv. [paper] [code]

• [2023/10] Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading Howard Chen (Princeton University) et al. arXiv. [paper]
• [2023/09] Empowering Private Tutoring by Chaining Large Language Models Yulin Chen (Tsinghua University) et al. arXiv. [paper]
• [2023/08] ExpeL: LLM Agents Are Experiential Learners. Andrew Zhao (Tsinghua University) et al. arXiv. [paper] [code]
• [2023/08] ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate. Chi-Min Chan (Tsinghua University) et al. arXiv. [paper] [code]
• [2023/05] MemoryBank: Enhancing Large Language Models with Long-Term Memory. Wanjun Zhong (Harbin Institute of Technology) et al. arXiv. [paper] [code]
• [2023/04] Generative Agents: Interactive Simulacra of Human Behavior. Joon Sung Park (Stanford University) et al. arXiv. [paper] [code]
• [2023/04] Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System. Xinnian Liang (Beihang University) et al. arXiv. [paper] [code]
• [2023/03] Reflexion: Language Agents with Verbal Reinforcement Learning. Noah Shinn (Northeastern University) et al. arXiv. [paper] [code]
• [2023/05] RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text. Wangchunshu Zhou (AIWaves) et al. arXiv. [paper] [code]

• [2023/07] Communicative Agents for Software Development. Chen Qian (Tsinghua University) et al. arXiv. [paper] [code]
• [2023/06] ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory. Chenxu Hu (Tsinghua University) et al. arXiv. [paper] [code]
• [2023/05] Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory. Xizhou Zhu (Tsinghua University) et al. arXiv. [paper] [code]
• [2023/05] RET-LLM: Towards a General Read-Write Memory for Large Language Models. Ali Modarressi (LMU Munich) et al. arXiv. [paper] [code]
• [2023/05] RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text. Wangchunshu Zhou (AIWaves) et al. arXiv. [paper] [code]

• [2023/08] Memory Sandbox: Transparent and Interactive Memory Management for Conversational Agents. Ziheng Huang (University of California—San Diego) et al. arXiv. [paper]
• [2023/08] AgentSims: An Open-Source Sandbox for Large Language Model Evaluation. Jiaju Lin (PTA Studio) et al. arXiv. [paper] [project page] [code]
• [2023/06] ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory. Chenxu Hu (Tsinghua University) et al. arXiv. [paper] [code]
• [2023/05] MemoryBank: Enhancing Large Language Models with Long-Term Memory. Wanjun Zhong (Harbin Institute of Technology) et al. arXiv. [paper] [code]
• [2023/04] Generative Agents: Interactive Simulacra of Human Behavior. Joon Sung Park (Stanford) et al. arXiv. [paper] [code]
• [2023/05] RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text. Wangchunshu Zhou (AIWaves) et al. arXiv. [paper] [code]

Title	Venue	Date	Code	Demo
Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models	arXiv	2023-06-08	Github	Demo
MIMIC-IT: Multi-Modal In-Context Instruction Tuning	arXiv	2023-06-08	Github	Demo
M3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning	arXiv	2023-06-07	-	-
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding	arXiv	2023-06-05	Github	Demo
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day	arXiv	2023-06-01	Github	-
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction	arXiv	2023-05-30	Github	Demo
PandaGPT: One Model To Instruction-Follow Them All	arXiv	2023-05-25	Github	Demo
ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst	arXiv	2023-05-25	Github	-
Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models	arXiv	2023-05-24	Github	Local Demo
DetGPT: Detect What You Need via Reasoning	arXiv	2023-05-23	Github	Demo
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks	arXiv	2023-05-18	Github	Demo
VisualGLM-6B	-	2023-05-17	Github	Local Demo
PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering	arXiv	2023-05-17	Github	-
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning	arXiv	2023-05-11	Github	Local Demo
VideoChat: Chat-Centric Video Understanding	arXiv	2023-05-10	Github	Demo
MultiModal-GPT: A Vision and Language Model for Dialogue with Humans	arXiv	2023-05-08	Github	Demo
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages	arXiv	2023-05-07	Github	-
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model	arXiv	2023-04-28	Github	Demo
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality	arXiv	2023-04-27	Github	Demo
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models	arXiv	2023-04-20	Github	-
Visual Instruction Tuning	arXiv	2023-04-17	GitHub	Demo
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention	arXiv	2023-03-28	Github	Demo
MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning	arXiv	2022-12-21	-	-

Title	Venue	Date	Code	Demo
MIMIC-IT: Multi-Modal In-Context Instruction Tuning	arXiv	2023-06-08	Github	Demo
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models	arXiv	2023-04-19	Github	Demo
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace	arXiv	2023-03-30	Github	Demo
MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action	arXiv	2023-03-20	Github	Demo
Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual Question Answering	CVPR	2023-03-03	Github	-
Visual Programming: Compositional visual reasoning without training	CVPR	2022-11-18	Github	Local Demo
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA	AAAI	2022-06-28	Github	-
Flamingo: a Visual Language Model for Few-Shot Learning	NeurIPS	2022-04-29	Github	Demo
Multimodal Few-Shot Learning with Frozen Language Models	NeurIPS	2021-06-25	-	-

Title	Venue	Date	Code	Demo
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought	arXiv	2023-05-24	Github	-
Let’s Think Frame by Frame: Evaluating Video Chain of Thought with Video Infilling and Prediction	arXiv	2023-05-23	-	-
Caption Anything: Interactive Image Description with Diverse Multimodal Controls	arXiv	2023-05-04	Github	Demo
Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings	arXiv	2023-05-03	Coming soon	-
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models	arXiv	2023-04-19	Github	Demo
Chain of Thought Prompt Tuning in Vision Language Models	arXiv	2023-04-16	Coming soon	-
MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action	arXiv	2023-03-20	Github	Demo
Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models	arXiv	2023-03-08	Github	Demo
Multimodal Chain-of-Thought Reasoning in Language Models	arXiv	2023-02-02	Github	-
Visual Programming: Compositional visual reasoning without training	CVPR	2022-11-18	Github	Local Demo
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering	NeurIPS	2022-09-20	Github	-

Title	Venue	Date	Code	Demo
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction	arXiv	2023-05-30	Github	Demo
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models	arXiv	2023-05-24	Github	-
IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models	arXiv	2023-05-24	Github	Local Demo
Caption Anything: Interactive Image Description with Diverse Multimodal Controls	arXiv	2023-05-04	Github	Demo
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models	arXiv	2023-04-19	Github	Demo
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace	arXiv	2023-03-30	Github	Demo
MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action	arXiv	2023-03-20	Github	Demo
ViperGPT: Visual Inference via Python Execution for Reasoning	arXiv	2023-03-14	Github	Local Demo
ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions	arXiv	2023-03-12	Github	Local Demo
Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models	arXiv	2023-03-08	Github	Demo
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners	CVPR	2023-03-03	Github	-
PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning	CVPR	2022-11-21	Github	-
Visual Programming: Compositional visual reasoning without training	CVPR	2022-11-18	Github	Local Demo
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language	arXiv	2022-04-01	Github	-

Title	Venue	Date	Code	Demo
Transfer Visual Prompt Generator across LLMs	arXiv	2023-05-02	Github	Demo
GPT-4 Technical Report	arXiv	2023-03-15	-	-
PaLM-E: An Embodied Multimodal Language Model	arXiv	2023-03-06	-	Demo
Prismer: A Vision-Language Model with An Ensemble of Experts	arXiv	2023-03-04	Github	Demo
Language Is Not All You Need: Aligning Perception with Language Models	arXiv	2023-02-27	Github	-
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models	arXiv	2023-01-30	Github	Demo
VIMA: General Robot Manipulation with Multimodal Prompts	ICML	2022-10-06	Github	Local Demo
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge	NeurIPS	2022-06-17	Github	-

Title	Venue	Date	Code	Demo
Can Large Pre-trained Models Help Vision Models on Perception Tasks?	arXiv	2023-06-01	Coming soon	-
Contextual Object Detection with Multimodal Large Language Models	arXiv	2023-05-29	Github	Demo
Generating Images with Multimodal Language Models	arXiv	2023-05-26	Github	-
On Evaluating Adversarial Robustness of Large Vision-Language Models	arXiv	2023-05-26	Github	-
Evaluating Object Hallucination in Large Vision-Language Models	arXiv	2023-05-17	Github	-
Grounding Language Models to Images for Multimodal Inputs and Outputs	ICML	2023-01-31	Github	Demo

• [Andrej Karpathy] State of GPT video
• [Hyung Won Chung] Instruction finetuning and RLHF lecture Youtube
• [Jason Wei] Scaling, emergence, and reasoning in large language models Slides
• [Susan Zhang] Open Pretrained Transformers Youtube
• [Ameet Deshpande] How Does ChatGPT Work? Slides
• [Yao Fu] 预训练，指令微调，对齐，专业化：论大语言模型能力的来源 Bilibili
• [Hung-yi Lee] ChatGPT 原理剖析 Youtube
• [Jay Mody] GPT in 60 Lines of NumPy Link
• [ICML 2022] Welcome to the "Big Model" Era: Techniques and Systems to Train and Serve Bigger Models Link
• [NeurIPS 2022] Foundational Robustness of Foundation Models Link
• [Andrej Karpathy] Let's build GPT: from scratch, in code, spelled out. Video|Code
• [DAIR.AI] Prompt Engineering Guide Link
• [邱锡鹏] 大型语言模型的能力分析与应用 Slides | Video
• [Philipp Schmid] Fine-tune FLAN-T5 XL/XXL using DeepSpeed & Hugging Face Transformers Link
• [HuggingFace] Illustrating Reinforcement Learning from Human Feedback (RLHF) Link
• [HuggingFace] What Makes a Dialog Agent Useful? Link
• [张俊林]通向AGI之路：大型语言模型(LLM)技术精要 Link
• [大师兄]ChatGPT/InstructGPT详解 Link
• [HeptaAI]ChatGPT内核：InstructGPT，基于反馈指令的PPO强化学习 Link
• [Yao Fu] How does GPT Obtain its Ability? Tracing Emergent Abilities of Language Models to their Sources Link
• [Stephen Wolfram] What Is ChatGPT Doing … and Why Does It Work? Link
• [Jingfeng Yang] Why did all of the public reproduction of GPT-3 fail? Link
• [Hung-yi Lee] ChatGPT (可能)是怎麼煉成的 - GPT 社會化的過程 Video
• [Keyvan Kambakhsh] Pure Rust implementation of a minimal Generative Pretrained Transformer code

• LLaMA2 - A revolutionary version of llama , 70 - 13 - 7 -billion-parameter large language model. LLaMA2 HF - TheBloke/Llama-2-13B-GPTQ
• LLaMA - A foundational, 65-billion-parameter large language model. LLaMA.cpp Lit-LLaMA
  • Alpaca - A model fine-tuned from the LLaMA 7B model on 52K instruction-following demonstrations. Alpaca.cpp Alpaca-LoRA
  • Flan-Alpaca - Instruction Tuning from Humans and Machines.
  • Baize - Baize is an open-source chat model trained with LoRA. It uses 100k dialogs generated by letting ChatGPT chat with itself.
  • Cabrita - A portuguese finetuned instruction LLaMA.
  • Vicuna - An Open-Source Chatbot Impressing GPT-4 with 90% ChatGPT Quality.
  • Vicuna - An Open-Source Chatbot Impressing GPT-4 with 90% ChatGPT Quality.
  • Llama-X - Open Academic Research on Improving LLaMA to SOTA LLM.
  • Chinese-Vicuna - A Chinese Instruction-following LLaMA-based Model.
  • GPTQ-for-LLaMA - 4 bits quantization of LLaMA using GPTQ.
  • GPT4All - Demo, data, and code to train open-source assistant-style large language model based on GPT-J and LLaMa.
  • Koala - A Dialogue Model for Academic Research
  • BELLE - Be Everyone's Large Language model Engine
  • StackLLaMA - A hands-on guide to train LLaMA with RLHF.
  • RedPajama - An Open Source Recipe to Reproduce LLaMA training dataset.
  • Chimera - Latin Phoenix.
  • WizardLM|WizardCoder - Family of instruction-following LLMs powered by Evol-Instruct: WizardLM, WizardCoder.
  • CaMA - a Chinese-English Bilingual LLaMA Model.
  • Orca - Microsoft's finetuned LLaMA model that reportedly matches GPT3.5, finetuned against 5M of data, ChatGPT, and GPT4
  • BayLing - an English/Chinese LLM equipped with advanced language alignment, showing superior capability in English/Chinese generation, instruction following and multi-turn interaction.
  • UltraLM - Large-scale, Informative, and Diverse Multi-round Chat Models.
  • Guanaco - QLoRA tuned LLaMA
• BLOOM - BigScience Large Open-science Open-access Multilingual Language Model BLOOM-LoRA
  • BLOOMZ&mT0 - a family of models capable of following human instructions in dozens of languages zero-shot.
  • Phoenix
• T5 - Text-to-Text Transfer Transformer
  • T0 - Multitask Prompted Training Enables Zero-Shot Task Generalization
• OPT - Open Pre-trained Transformer Language Models.
• UL2 - a unified framework for pretraining models that are universally effective across datasets and setups.
• GLM- GLM is a General Language Model pretrained with an autoregressive blank-filling objective and can be finetuned on various natural language understanding and generation tasks.
  • ChatGLM-6B - ChatGLM-6B 是一个开源的、支持中英双语的对话语言模型，基于 General Language Model (GLM) 架构，具有 62 亿参数.
  • ChatGLM2-6B - An Open Bilingual Chat LLM | 开源双语对话语言模型
• RWKV - Parallelizable RNN with Transformer-level LLM Performance.
  • ChatRWKV - ChatRWKV is like ChatGPT but powered by my RWKV (100% RNN) language model.
• StableLM - Stability AI Language Models.
• YaLM - a GPT-like neural network for generating and processing text. It can be used freely by developers and researchers from all over the world.
• GPT-Neo - An implementation of model & data parallel GPT3-like models using the mesh-tensorflow library.
• GPT-J - A 6 billion parameter, autoregressive text generation model trained on The Pile.
  • Dolly - a cheap-to-build LLM that exhibits a surprising degree of the instruction following capabilities exhibited by ChatGPT.
• Pythia - Interpreting Autoregressive Transformers Across Time and Scale
  • Dolly 2.0 - the first open source, instruction-following LLM, fine-tuned on a human-generated instruction dataset licensed for research and commercial use.
• OpenFlamingo - an open-source reproduction of DeepMind's Flamingo model.
• Cerebras-GPT - A Family of Open, Compute-efficient, Large Language Models.
• GALACTICA - The GALACTICA models are trained on a large-scale scientific corpus.
  • GALPACA - GALACTICA 30B fine-tuned on the Alpaca dataset.
• Palmyra - Palmyra Base was primarily pre-trained with English text.
• Camel - a state-of-the-art instruction-following large language model designed to deliver exceptional performance and versatility.
• h2oGPT
• PanGu-α - PanGu-α is a 200B parameter autoregressive pretrained Chinese language model develped by Huawei Noah's Ark Lab, MindSpore Team and Peng Cheng Laboratory.
• MOSS - MOSS是一个支持中英双语和多种插件的开源对话语言模型.
• Open-Assistant - a project meant to give everyone access to a great chat based large language model.
  • HuggingChat - Powered by Open Assistant's latest model – the best open source chat model right now and @huggingface Inference API.
• StarCoder - Hugging Face LLM for Code
• MPT-7B - Open LLM for commercial use by MosaicML
• Falcon - Falcon LLM is a foundational large language model (LLM) with 40 billion parameters trained on one trillion tokens. TII has now released Falcon LLM – a 40B model.
• XGen - Salesforce open-source LLMs with 8k sequence length.
• baichuan-7B - baichuan-7B 是由百川智能开发的一个开源可商用的大规模预训练语言模型.
• Aquila - 悟道·天鹰语言大模型是首个具备中英双语知识、支持商用许可协议、国内数据合规需求的开源语言大模型。

• DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
• Megatron-DeepSpeed - DeepSpeed version of NVIDIA's Megatron-LM that adds additional support for several features such as MoE model training, Curriculum Learning, 3D Parallelism, and others.
• FairScale - FairScale is a PyTorch extension library for high performance and large scale training.
• Megatron-LM - Ongoing research training transformer models at scale.
• Colossal-AI - Making large AI models cheaper, faster, and more accessible.
• BMTrain - Efficient Training for Big Models.
• Mesh Tensorflow - Mesh TensorFlow: Model Parallelism Made Easier.
• maxtext - A simple, performant and scalable Jax LLM!
• Alpa - Alpa is a system for training and serving large-scale neural networks.
• GPT-NeoX - An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

• FastChat - A distributed multi-model LLM serving system with web UI and OpenAI-compatible RESTful APIs.
• SkyPilot - Run LLMs and batch jobs on any cloud. Get maximum cost savings, highest GPU availability, and managed execution -- all with a simple interface.
• vLLM - A high-throughput and memory-efficient inference and serving engine for LLMs
• Text Generation Inference - A Rust, Python and gRPC server for text generation inference. Used in production at HuggingFace to power LLMs api-inference widgets.
• Haystack - an open-source NLP framework that allows you to use LLMs and transformer-based models from Hugging Face, OpenAI and Cohere to interact with your own data.
• Sidekick - Data integration platform for LLMs.
• LangChain - Building applications with LLMs through composability
• wechat-chatgpt - Use ChatGPT On Wechat via wechaty
• promptfoo - Test your prompts. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality.
• Agenta - Easily build, version, evaluate and deploy your LLM-powered apps.
• Embedchain - Framework to create ChatGPT like bots over your dataset.

• [DeepLearning.AI] ChatGPT Prompt Engineering for Developers Homepage
• [Princeton] Understanding Large Language Models Homepage
• [OpenBMB] 大模型公开课 主页
• [Stanford] CS224N-Lecture 11: Prompting, Instruction Finetuning, and RLHF Slides
• [Stanford] CS324-Large Language Models Homepage
• [Stanford] CS25-Transformers United V2 Homepage
• [Stanford Webinar] GPT-3 & Beyond Video
• [李沐] InstructGPT论文精读 Bilibili Youtube
• [陳縕儂] OpenAI InstructGPT 從人類回饋中學習 ChatGPT 的前身 Youtube
• [李沐] HELM全面语言模型评测 Bilibili
• [李沐] GPT，GPT-2，GPT-3 论文精读 Bilibili Youtube
• [Aston Zhang] Chain of Thought论文 Bilibili Youtube
• [MIT] Introduction to Data-Centric AI Homepage

• Mistral - Mistral-7B-v0.1 is a small, yet powerful model adaptable to many use-cases including code and 8k sequence length. Apache 2.0 licence.
• Mixtral 8x7B - a high-quality sparse mixture of experts model (SMoE) with open weights.
• AutoGPT - an experimental open-source application showcasing the capabilities of the GPT-4 language model.
• OpenAGI - When LLM Meets Domain Experts.
• HuggingGPT - Solving AI Tasks with ChatGPT and its Friends in HuggingFace.
• EasyEdit - An easy-to-use framework to edit large language models.
• chatgpt-shroud - A Chrome extension for OpenAI's ChatGPT, enhancing user privacy by enabling easy hiding and unhiding of chat history. Ideal for privacy during screen shares.
• Arize-Phoenix - Open-source tool for ML observability that runs in your notebook environment. Monitor and fine tune LLM, CV and Tabular Models.
• Emergent Mind - The latest AI news, curated & explained by GPT-4.
• ShareGPT - Share your wildest ChatGPT conversations with one click.
• Major LLMs + Data Availability
• 500+ Best AI Tools
• Cohere Summarize Beta - Introducing Cohere Summarize Beta: A New Endpoint for Text Summarization
• chatgpt-wrapper - ChatGPT Wrapper is an open-source unofficial Python API and CLI that lets you interact with ChatGPT.
• Open-evals - A framework extend openai's Evals for different language model.
• Cursor - Write, edit, and chat about your code with a powerful AI.

• YiVal — Evaluate and Evolve: YiVal is an open-source GenAI-Ops tool for tuning and evaluating prompts, configurations, and model parameters using customizable datasets, evaluation methods, and improvement strategies.
• Guidance — A handy looking Python library from Microsoft that uses Handlebars templating to interleave generation, prompting, and logical control.
• LangChain — A popular Python/JavaScript library for chaining sequences of language model prompts.
• FLAML (A Fast Library for Automated Machine Learning & Tuning): A Python library for automating selection of models, hyperparameters, and other tunable choices.
• Chainlit — A Python library for making chatbot interfaces.
• Guardrails.ai — A Python library for validating outputs and retrying failures. Still in alpha, so expect sharp edges and bugs.
• Semantic Kernel — A Python/C#/Java library from Microsoft that supports prompt templating, function chaining, vectorized memory, and intelligent planning.
• Prompttools — Open-source Python tools for testing and evaluating models, vector DBs, and prompts.
• Outlines — A Python library that provides a domain-specific language to simplify prompting and constrain generation.
• Promptify — A small Python library for using language models to perform NLP tasks.
• Scale Spellbook — A paid product for building, comparing, and shipping language model apps.
• PromptPerfect — A paid product for testing and improving prompts.
• Weights & Biases — A paid product for tracking model training and prompt engineering experiments.
• OpenAI Evals — An open-source library for evaluating task performance of language models and prompts.
• LlamaIndex — A Python library for augmenting LLM apps with data.
• Arthur Shield — A paid product for detecting toxicity, hallucination, prompt injection, etc.
• LMQL — A programming language for LLM interaction with support for typed prompting, control flow, constraints, and tools.
• ModelFusion - A TypeScript library for building apps with LLMs and other ML models (speech-to-text, text-to-speech, image generation).
• Flappy — Production-Ready LLM Agent SDK for Every Developer.
• GPTRouter - GPTRouter is an open source LLM API Gateway that offers a universal API for 30+ LLMs, vision, and image models, with smart fallbacks based on uptime and latency, automatic retries, and streaming. Stay operational even when OpenAI is down

• HH-RLHF
  • Ben Mann, Deep Ganguli
  • Keyword: Human preference dataset, Red teaming data, machine-written
  • Task: Open-source dataset for human preference data about helpfulness and harmlessness
• Stanford Human Preferences Dataset(SHP)
  • Ethayarajh, Kawin and Zhang, Heidi and Wang, Yizhong and Jurafsky, Dan
  • Keyword: Naturally occurring and human-written dataset,18 different subject areas
  • Task: Intended to be used for training RLHF reward models
• PromptSource
  • Stephen H. Bach, Victor Sanh, Zheng-Xin Yong et al.
  • Keyword: Prompted English datasets, Mapping a data example into natural language
  • Task: Toolkit for creating, Sharing and using natural language prompts
• Structured Knowledge Grounding(SKG) Resources Collections
  • Tianbao Xie, Chen Henry Wu, Peng Shi et al.
  • Keyword: Structured Knowledge Grounding
  • Task: Collection of datasets are related to structured knowledge grounding
• The Flan Collection
  • Longpre Shayne, Hou Le, Vu Tu et al.
  • Task: Collection compiles datasets from Flan 2021, P3, Super-Natural Instructions
• rlhf-reward-datasets
  • Yiting Xie
  • Keyword: Machine-written dataset
• webgpt_comparisons
  • OpenAI
  • Keyword: Human-written dataset, Long form question answering
  • Task: Train a long form question answering model to align with human preferences
• summarize_from_feedback
  • OpenAI
  • Keyword: Human-written dataset, summarization
  • Task: Train a summarization model to align with human preferences
• Dahoas/synthetic-instruct-gptj-pairwise
  • Dahoas
  • Keyword: Human-written dataset, synthetic dataset
• Stable Alignment - Alignment Learning in Social Games
  • Ruibo Liu, Ruixin (Ray) Yang, Qiang Peng
  • Keyword: Interaction data used for alignment training, Run in Sandbox
  • Task: Train on the recorded interaction data in simulated social games
• LIMA
  • Meta AI
  • Keyword: without any RLHF, few carefully curated prompts and responses
  • Task: Dataset used for training the LIMA model