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Awesome-LLM Awesome

🔥 Large Language Models(LLM) have taken the NLP community AI community the Whole World by storm. Here is a curated list of papers about large language models, especially relating to ChatGPT. It also contains frameworks for LLM training, tools to deploy LLM, courses and tutorials about LLM and all publicly available LLM checkpoints and APIs.

Trending LLM Projects

  • Omost - a project to convert LLM's coding capability to image generation (or more accurately, image composing) capability.
  • llama-fs - A self-organizing file system with llama 3.
  • MiniCPM-V - A GPT-4V Level Multimodal LLM on Your Phone.
  • fabric - an open-source framework for augmenting humans using AI.

Table of Content

Milestone Papers

Date keywords Institute Paper Publication
2017-06 Transformers Google Attention Is All You Need NeurIPS
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2018-06 GPT 1.0 OpenAI Improving Language Understanding by Generative Pre-Training Dynamic JSON Badge
2018-10 BERT Google BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding NAACL
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2019-02 GPT 2.0 OpenAI Language Models are Unsupervised Multitask Learners Dynamic JSON Badge
2019-09 Megatron-LM NVIDIA Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism Dynamic JSON Badge
2019-10 T5 Google Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer JMLR
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2019-10 ZeRO Microsoft ZeRO: Memory Optimizations Toward Training Trillion Parameter Models SC
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2020-01 Scaling Law OpenAI Scaling Laws for Neural Language Models Dynamic JSON Badge
2020-05 GPT 3.0 OpenAI Language models are few-shot learners NeurIPS
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2021-01 Switch Transformers Google Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity JMLR
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2021-08 Codex OpenAI Evaluating Large Language Models Trained on Code Dynamic JSON Badge
2021-08 Foundation Models Stanford On the Opportunities and Risks of Foundation Models Dynamic JSON Badge
2021-09 FLAN Google Finetuned Language Models are Zero-Shot Learners ICLR
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2021-10 T0 HuggingFace et al. Multitask Prompted Training Enables Zero-Shot Task Generalization ICLR
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2021-12 GLaM Google GLaM: Efficient Scaling of Language Models with Mixture-of-Experts ICML
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2021-12 WebGPT OpenAI WebGPT: Browser-assisted question-answering with human feedback Dynamic JSON Badge
2021-12 Retro DeepMind Improving language models by retrieving from trillions of tokens ICML
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2021-12 Gopher DeepMind Scaling Language Models: Methods, Analysis & Insights from Training Gopher Dynamic JSON Badge
2022-01 COT Google Chain-of-Thought Prompting Elicits Reasoning in Large Language Models NeurIPS
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2022-01 LaMDA Google LaMDA: Language Models for Dialog Applications Dynamic JSON Badge
2022-01 Minerva Google Solving Quantitative Reasoning Problems with Language Models NeurIPS
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2022-01 Megatron-Turing NLG Microsoft&NVIDIA Using Deep and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model Dynamic JSON Badge
2022-03 InstructGPT OpenAI Training language models to follow instructions with human feedback Dynamic JSON Badge
2022-04 PaLM Google PaLM: Scaling Language Modeling with Pathways Dynamic JSON Badge
2022-04 Chinchilla DeepMind An empirical analysis of compute-optimal large language model training NeurIPS
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2022-05 OPT Meta OPT: Open Pre-trained Transformer Language Models Dynamic JSON Badge
2022-05 UL2 Google Unifying Language Learning Paradigms ICLR
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2022-06 Emergent Abilities Google Emergent Abilities of Large Language Models TMLR
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2022-06 BIG-bench Google Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models Dynamic JSON Badge
2022-06 METALM Microsoft Language Models are General-Purpose Interfaces Dynamic JSON Badge
2022-09 Sparrow DeepMind Improving alignment of dialogue agents via targeted human judgements Dynamic JSON Badge
2022-10 Flan-T5/PaLM Google Scaling Instruction-Finetuned Language Models Dynamic JSON Badge
2022-10 GLM-130B Tsinghua GLM-130B: An Open Bilingual Pre-trained Model ICLR
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2022-11 HELM Stanford Holistic Evaluation of Language Models Dynamic JSON Badge
2022-11 BLOOM BigScience BLOOM: A 176B-Parameter Open-Access Multilingual Language Model Dynamic JSON Badge
2022-11 Galactica Meta Galactica: A Large Language Model for Science Dynamic JSON Badge
2022-12 OPT-IML Meta OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization Dynamic JSON Badge
2023-01 Flan 2022 Collection Google The Flan Collection: Designing Data and Methods for Effective Instruction Tuning ICML
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2023-02 LLaMA Meta LLaMA: Open and Efficient Foundation Language Models Dynamic JSON Badge
2023-02 Kosmos-1 Microsoft Language Is Not All You Need: Aligning Perception with Language Models Dynamic JSON Badge
2023-03 PaLM-E Google PaLM-E: An Embodied Multimodal Language Model ICML
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2023-03 GPT 4 OpenAI GPT-4 Technical Report Dynamic JSON Badge
2023-04 Pythia EleutherAI et al. Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling ICML
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2023-05 Dromedary CMU et al. Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision NeurIPS
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2023-05 PaLM 2 Google PaLM 2 Technical Report Dynamic JSON Badge
2023-05 RWKV Bo Peng RWKV: Reinventing RNNs for the Transformer Era EMNLP
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2023-05 DPO Stanford Direct Preference Optimization: Your Language Model is Secretly a Reward Model Neurips
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2023-05 ToT Google&Princeton Tree of Thoughts: Deliberate Problem Solving with Large Language Models NeurIPS
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2023-07 LLaMA 2 Meta Llama 2: Open Foundation and Fine-Tuned Chat Models Dynamic JSON Badge
2023-10 Mistral 7B Mistral Mistral 7B
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2023-12 Mamba CMU&Princeton Mamba: Linear-Time Sequence Modeling with Selective State Spaces Dynamic JSON Badge
2024-03 Jamba AI21 Labs Jamba: A Hybrid Transformer-Mamba Language Model Dynamic JSON Badge

Other Papers

If you're interested in the field of LLM, you may find the above list of milestone papers helpful to explore its history and state-of-the-art. However, each direction of LLM offers a unique set of insights and contributions, which are essential to understanding the field as a whole. For a detailed list of papers in various subfields, please refer to the following link:

LLM Leaderboard

  • Chatbot Arena Leaderboard - a benchmark platform for large language models (LLMs) that features anonymous, randomized battles in a crowdsourced manner.
  • AlpacaEval Leaderboard - An Automatic Evaluator for Instruction-following Language Models using Nous benchmark suite.
  • Open LLM Leaderboard - aims to track, rank and evaluate LLMs and chatbots as they are released.
  • OpenCompass 2.0 LLM Leaderboard - OpenCompass is an LLM evaluation platform, supporting a wide range of models (InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

Open LLM

LLM Data

LLM Evaluation:

  • lm-evaluation-harness - A framework for few-shot evaluation of language models.
  • lighteval - a lightweight LLM evaluation suite that Hugging Face has been using internally.
  • OLMO-eval - a repository for evaluating open language models.
  • instruct-eval - This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  • simple-evals - Eval tools by OpenAI.
  • Giskard - Testing & evaluation library for LLM applications, in particular RAGs

LLM Training Frameworks

  • 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.
  • torchtune - A Native-PyTorch Library for LLM Fine-tuning.
  • torchtitan - A native PyTorch Library for large model 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.

LLM Deployment

Reference: llm-inference-solutions

  • vLLM - A high-throughput and memory-efficient inference and serving engine for LLMs.
  • TGI - a toolkit for deploying and serving Large Language Models (LLMs).
  • exllama - A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
  • llama.cpp - LLM inference in C/C++.
  • ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
  • Langfuse - Open Source LLM Engineering Platform 🪢 Tracing, Evaluations, Prompt Management, Evaluations and Playground.
  • FastChat - A distributed multi-model LLM serving system with web UI and OpenAI-compatible RESTful APIs.
  • MindSQL - A python package for Txt-to-SQL with self hosting functionalities and RESTful APIs compatible with proprietary as well as open source LLM.
  • SkyPilot - Run LLMs and batch jobs on any cloud. Get maximum cost savings, highest GPU availability, and managed execution -- all with a simple interface.
  • 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.
  • QA-Pilot - An interactive chat project that leverages Ollama/OpenAI/MistralAI LLMs for rapid understanding and navigation of GitHub code repository or compressed file resources.
  • Shell-Pilot - Interact with LLM using Ollama models(or openAI, mistralAI)via pure shell scripts on your Linux(or MacOS) system, enhancing intelligent system management without any dependencies.
  • LangChain - Building applications with LLMs through composability
  • Floom AI gateway and marketplace for developers, enables streamlined integration of AI features into products
  • Swiss Army Llama - Comprehensive set of tools for working with local LLMs for various tasks.
  • LiteChain - Lightweight alternative to LangChain for composing LLMs
  • magentic - Seamlessly integrate LLMs as Python functions
  • 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.
  • Serge - a chat interface crafted with llama.cpp for running Alpaca models. No API keys, entirely self-hosted!
  • Langroid - Harness LLMs with Multi-Agent Programming
  • Embedchain - Framework to create ChatGPT like bots over your dataset.
  • CometLLM - A 100% opensource LLMOps platform to log, manage, and visualize your LLM prompts and chains. Track prompt templates, prompt variables, prompt duration, token usage, and other metadata. Score prompt outputs and visualize chat history all within a single UI.
  • IntelliServer - simplifies the evaluation of LLMs by providing a unified microservice to access and test multiple AI models.
  • OpenLLM - Fine-tune, serve, deploy, and monitor any open-source LLMs in production. Used in production at BentoML for LLMs-based applications.
  • DeepSpeed-Mii - MII makes low-latency and high-throughput inference, similar to vLLM powered by DeepSpeed.
  • Text-Embeddings-Inference - Inference for text-embeddings in Rust, HFOIL Licence.
  • Infinity - Inference for text-embeddings in Python
  • TensorRT-LLM - Nvidia Framework for LLM Inference
  • FasterTransformer - NVIDIA Framework for LLM Inference(Transitioned to TensorRT-LLM)
  • Flash-Attention - A method designed to enhance the efficiency of Transformer models
  • Langchain-Chatchat - Formerly langchain-ChatGLM, local knowledge based LLM (like ChatGLM) QA app with langchain.
  • Search with Lepton - Build your own conversational search engine using less than 500 lines of code by LeptonAI.
  • Robocorp - Create, deploy and operate Actions using Python anywhere to enhance your AI agents and assistants. Batteries included with an extensive set of libraries, helpers and logging.
  • LMDeploy - A high-throughput and low-latency inference and serving framework for LLMs and VLs
  • Tune Studio - Playground for devs to finetune & deploy LLMs
  • LLocalSearch - Locally running websearch using LLM chains
  • AI Gateway — Gateway streamlines requests to 100+ open & closed source models with a unified API. It is also production-ready with support for caching, fallbacks, retries, timeouts, loadbalancing, and can be edge-deployed for minimum latency.
  • talkd.ai dialog - Simple API for deploying any RAG or LLM that you want adding plugins.
  • Wllama - WebAssembly binding for llama.cpp - Enabling in-browser LLM inference

LLM Applications

  • 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
  • QAnything - A local knowledge base question-answering system designed to support a wide range of file formats and databases.
  • OneKE — A bilingual Chinese-English knowledge extraction model with knowledge graphs and natural language processing technologies.
  • llm-ui - A React library for building LLM UIs.
  • Wordware - A web-hosted IDE where non-technical domain experts work with AI Engineers to build task-specific AI agents. We approach prompting as a new programming language rather than low/no-code blocks.
  • Wallaroo.AI - Deploy, manage, optimize any model at scale across any environment from cloud to edge. Let's you go from python notebook to inferencing in minutes.

LLM Tutorials and Courses

LLM Books

Great thoughts about LLM

Miscellaneous

  • 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.
  • AutoGPT - an experimental open-source application showcasing the capabilities of the GPT-4 language model.
  • OpenAGI - When LLM Meets Domain Experts.
  • 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.

Contributing

This is an active repository and your contributions are always welcome!

I will keep some pull requests open if I'm not sure if they are awesome for LLM, you could vote for them by adding 👍 to them.


If you have any question about this opinionated list, do not hesitate to contact me chengxin1998@stu.pku.edu.cn.

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