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awesome-LLM-resourses
🧑🚀 全世界最好的中文LLM资料总结
https://github.com/WangRongsheng/awesome-LLM-resourses
- AotoLabel
- LabelLLM - Source Data Annotation Platform.
- data-juicer - stop data processing system to make data higher-quality, juicier, and more digestible for LLMs!
- LLaMA-Factory - Tuning of 100+ LLMs.
- unsloth - 5X faster 80% less memory LLM finetuning.
- TRL
- Firefly
- Xtuner - featured toolkit for fine-tuning large models.
- torchtune - PyTorch Library for LLM Fine-tuning.
- Swift - parameter to finetune 200+ LLMs or 15+ MLLMs.
- AutoTrain - of-the-art Machine Learning models.
- OpenRLHF - to-use, Scalable and High-performance RLHF Framework (Support 70B+ full tuning & LoRA & Mixtral & KTO).
- Ludwig - code framework for building custom LLMs, neural networks, and other AI models.
- mistral-finetune - weight codebase that enables memory-efficient and performant finetuning of Mistral's models.
- aikit - tune, build, and deploy open-source LLMs easily!
- H2O-LLMStudio - a framework and no-code GUI for fine-tuning LLMs.
- LitGPT - of-the-art techniques: flash attention, FSDP, 4-bit, LoRA, and more.
- LLMBox
- PaddleNLP - to-use and powerful NLP and LLM library.
- ollama
- Open WebUI - friendly WebUI for LLMs (Formerly Ollama WebUI).
- Text Generation WebUI
- Xinference
- LangChain - aware reasoning applications.
- LlamaIndex
- lobe-chat - source, modern-design LLMs/AI chat framework. Supports Multi AI Providers, Multi-Modals (Vision/TTS) and plugin system.
- TensorRT-LLM - 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 efficiently on NVIDIA GPUs.
- vllm - throughput and memory-efficient inference and serving engine for LLMs.
- LlamaChat
- NVIDIA ChatRTX
- LM Studio
- chat-with-mlx
- LLM Pricing
- Open Interpreter
- Chat-ollama
- chat-ui
- MemGPT - term memory and custom tools.
- koboldcpp - file way to run various GGML and GGUF models with KoboldAI's UI.
- LLMFarm
- enchanted
- Flowise
- Jan - LLM).
- LMDeploy
- lm-evaluation-harness - shot evaluation of language models.
- opencompass - 4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
- llm-comparator - by-side, developed.
- LMSYS Chatbot Arena: Benchmarking LLMs in the Wild
- CompassArena 司南大模型竞技场
- 琅琊榜
- Huggingface Spaces
- WiseModel Spaces
- AnythingLLM - in-one AI app for any LLM with full RAG and AI Agent capabilites.
- MaxKB
- RAGFlow - source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
- Dify - source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
- FastGPT - based platform built on the LLM, offers out-of-the-box data processing and model invocation capabilities, allows for workflow orchestration through Flow visualization.
- Langchain-Chatchat
- QAnything
- Quivr - augmented generation.
- RAG-GPT - GPT, leveraging LLM and RAG technology, learns from user-customized knowledge bases to provide contextually relevant answers for a wide range of queries, ensuring rapid and accurate information retrieval.
- Verba
- FlashRAG
- AutoGen - studio.com/)
- CrewAI - playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
- Coze
- AgentGPT
- XAgent
- MobileAgent
- Lagent - based agents.
- 《大规模语言模型：从理论到实践》
- 《大语言模型》
- 《动手学大模型Dive into LLMs》
- 《动手做AI Agent》
- 《Build a Large Language Model (From Scratch)》
- 《多模态大模型》
- 斯坦福 CS224N: Natural Language Processing with Deep Learning
- 吴恩达: Generative AI for Everyone
- 吴恩达: LLM series of courses
- ACL 2023 Tutorial: Retrieval-based Language Models and Applications
- llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
- 微软: Generative AI for Beginners
- 微软: State of GPT
- HuggingFace NLP Course
- 清华 NLP 刘知远团队大模型公开课
- 斯坦福 CS25: Transformers United V4
- 斯坦福 CS324: Large Language Models
- 普林斯顿 COS 597G (Fall 2022): Understanding Large Language Models
- 约翰霍普金斯 CS 601.471/671 NLP: Self-supervised Models
- 李宏毅 GenAI课程
- openai-cookbook
- Hands on llms - time financial advisor LLM system.
- 滑铁卢大学 CS 886: Recent Advances on Foundation Models
- Mistral: Getting Started with Mistral
- 斯坦福 CS25: Transformers United V4
- Coursera: Chatgpt 应用提示工程
- LangGPT
- mistralai-cookbook
- Introduction to Generative AI 2024 Spring
- build nanoGPT
- 动手学大模型应用开发
- AI开发者频道
- B站：五里墩茶社
- B站：木羽Cheney
- YTB：AI Anytime
- B站：漆妮妮
- Prompt Engineering Guide
- YTB: AI超元域
- What We Learned from a Year of Building with LLMs (Part I)
- What We Learned from a Year of Building with LLMs (Part II)
- What We Learned from a Year of Building with LLMs (Part III): Strategy
- POT
- Bob
- OpenAI Translator Bob Plugin
- 沉浸式翻译
- ![Forkers repo roster for @WangRongsheng/awesome-LLM-resourses - LLM-resourses/network/members)
- ![Stargazers repo roster for @WangRongsheng/awesome-LLM-resourses - LLM-resourses/stargazers)
Programming Languages
Keywords
llm
30
gpt
19
llama
18
llama2
13
chatgpt
13
openai
11
ai
10
gpt-4
10
large-language-models
9
mistral
8
llms
7
chatbot
7
rag
7
agent
7
ollama
6
machine-learning
6
transformers
6
fine-tuning
6
chatglm
6
pytorch
5
langchain
5
lora
4
llamacpp
4
llmops
4
macos
4
qwen
4
qlora
4
language-model
3
inference
3
react
3
nlp
3
data-science
3
chat
3
ocr
3
ios
3
nextjs
3
docker
3
baichuan
3
generative-ai
3
python
3
swift
3
typescript
3
gemma
3
llama3
3
internlm
3
llava
3
llm-training
3
peft
3
mixtral
3
streamlit
2