- AutoGPT
- https://github.com/Significant-Gravitas/Auto-GPT
- https://github.com/WangRongsheng/Use-LLMs/tree/main/AutoGPT
- ChatGenTitle
- https://github.com/WangRongsheng/ChatGenTitle
- https://github.com/WangRongsheng/Use-LLMs/tree/main/ChatGenTitle
- GroundedSAM
- https://github.com/caoyunkang/GroundedSAM-zero-shot-anomaly-detection
- https://github.com/WangRongsheng/Use-LLMs/tree/main/GroundedSAM
- MiniGPT-4
- https://github.com/Vision-CAIR/MiniGPT-4
- https://github.com/WangRongsheng/Use-LLMs-in-Colab/tree/main/MiniGPT-4
- LangChain
- https://github.com/hwchase17/langchain
- https://github.com/WangRongsheng/Use-LLMs-in-Colab/tree/main/LangChain
- segment-anything
- https://github.com/facebookresearch/segment-anything
- https://github.com/WangRongsheng/Use-LLMs-in-Colab/blob/main/segment-anything
- Chinese-LLaMA-Alpaca
- https://github.com/ymcui/Chinese-LLaMA-Alpaca
- https://github.com/WangRongsheng/Use-LLMs-in-Colab/tree/main/Chinese-LLaMA-Alpaca
- CPM-Bee
- https://github.com/OpenBMB/CPM-Bee
- https://github.com/WangRongsheng/Use-LLMs-in-Colab/tree/main/CPM-Bee
- QWen-VL
- https://github.com/QwenLM/Qwen-VL
- https://github.com/WangRongsheng/Use-LLMs-in-Colab/tree/main/Qwen-VL-Chat
- https://github.com/cambridgeltl/visual-med-alpaca
- https://github.com/Hello-SimpleAI/chatgpt-comparison-detection
- https://github.com/open-mmlab/Multimodal-GPT
- https://github.com/VPGTrans/VPGTrans
- https://github.com/OptimalScale/DetGPT
- https://github.com/salesforce/LAVIS/tree/main/projects/instructblip
- https://github.com/X-PLUG/mPLUG-Owl
- https://github.com/THUDM/VisualGLM-6B
- https://github.com/haotian-liu/LLaVA
- https://github.com/OpenGVLab/InternGPT
- https://github.com/mbzuai-oryx/Video-ChatGPT
- https://github.com/ZrrSkywalker/LLaMA-Adapter
- https://github.com/StarRing2022/MiniRWKV-4
- https://github.com/lyuchenyang/Macaw-LLM
- https://github.com/microsoft/LLaVA-Med
- https://github.com/luogen1996/LaVIN
- https://github.com/OpenBMB/VisCPM
- https://github.com/howard-hou/VisualRWKV
- https://github.com/openmedlab/XrayPULSE
- https://github.com/airaria/Visual-Chinese-LLaMA-Alpaca
- https://github.com/openmedlab/XrayPULSE
- https://github.com/LinkSoul-AI/Chinese-LLaVA
- https://github.com/QwenLM/Qwen-VL
- https://github.com/haochenheheda/segment-anything-annotator
- https://github.com/vietanhdev/anylabeling
- https://github.com/thomas-yanxin/LangChain-ChatGLM-Webui
- https://github.com/reworkd/AgentGPT
- https://github.com/imClumsyPanda/langchain-ChatGLM
- https://github.com/kyrolabs/awesome-langchain
- https://github.com/Hedlen/awesome-segment-anything
- https://github.com/yanqiangmiffy/Chinese-LangChain
- https://github.com/GaiZhenbiao/ChuanhuChatGPT
- https://github.com/ttengwang/Caption-Anything
- https://github.com/lvwzhen/law-cn-ai
- https://github.com/zhangnn520/chinese_llama_alpaca_lora
- https://github.com/lxe/simple-llm-finetuner
- https://github.com/FreedomIntelligence/LLMZoo
- https://github.com/haochenheheda/segment-anything-annotator
- https://github.com/zilliztech/GPTCache
- https://github.com/CCCBora/auto-draft
- https://github.com/hiyouga/ChatGLM-Efficient-Tuning
- https://github.com/LiuHC0428/LAW-GPT
- https://github.com/JJGO/UniverSeg
- https://github.com/zhangnn520/chinese_llama_alpaca_lora
- https://github.com/ymcui/Chinese-LLaMA-Alpaca
- https://github.com/yuanzhoulvpi2017/zero_nlp
- https://github.com/yanqiangmiffy/Chinese-LangChain
- https://github.com/OpenLMLab/ChatZoo
- https://github.com/OFA-Sys/Chinese-CLIP
- https://github.com/IBM/Dromedary
- https://github.com/iflytek/MiniRBT
- https://github.com/starmpcc/CAMEL
- https://github.com/StarRing2022/ChatGPTX-Uni
- https://github.com/s-JoL/Open-Llama
- https://github.com/CVI-SZU/Linly
- https://github.com/lucasjinreal/llama_lora
- https://github.com/BlinkDL/ChatRWKV
- https://github.com/wenda-LLM/wenda
- https://github.com/LianjiaTech/BELLE
- https://github.com/pengxiao-song/LaWGPT
- https://github.com/DAMO-NLP-SG/Video-LLaMA
- https://github.com/PKU-Alignment/safe-rlhf
- https://github.com/mbzuai-oryx/XrayGPT
- https://github.com/RyanWangZf/MedCLIP
- https://github.com/PhoebusSi/Alpaca-CoT
- https://github.com/CSHaitao/LexiLaw
- https://github.com/lm-sys/FastChat
- https://github.com/FreedomIntelligence/HuatuoGPT
- https://github.com/SpursGoZmy/Tabular-LLM
- https://github.com/AndersonBY/vector-vein
- https://github.com/TigerResearch/TigerBot
- https://github.com/CVHub520/X-AnyLabeling
- https://github.com/OpenLMLab/LOMO
- https://github.com/lyogavin/Anima
- https://github.com/zjunlp/KnowLM
- https://github.com/qiuhuachuan/smile
- https://github.com/taishan1994/sentencepiece_chinese_bpe
- https://github.com/neukg/TechGPT
- https://github.com/PKU-YuanGroup/ChatLaw
- https://github.com/icalk-nlp/EduChat
- https://github.com/kendryte/Toucan-LLM
- https://github.com/openchatai/OpenChat
- https://github.com/beyondguo/LLM-Tuning
- https://github.com/CStanKonrad/long_llama
- https://github.com/zetavg/LLaMA-LoRA-Tuner
- https://github.com/chaoyi-wu/Finetune_LLAMA
- https://github.com/hiyouga/FastEdit
- https://github.com/InternLM/InternLM
- https://github.com/bowang-lab/MedSAM
- https://github.com/rogeriochaves/litechain
- https://github.com/LianjiaTech/BELLE
- https://github.com/cambridgeltl/visual-med-alpaca
- ziya：https://github.com/IDEA-CCNL/Fengshenbang-LM
- https://github.com/LinkSoul-AI/Chinese-Llama-2-7b
- https://github.com/zjunlp/KnowLM
- https://github.com/zjunlp/EasyEdit
- https://github.com/FlagAlpha/Llama2-Chinese
- https://github.com/yanqiangmiffy/how-to-train-tokenizer
- https://github.com/yanqiangmiffy/GoGPT
- https://github.com/SupritYoung/RLHF-Label-Tool
- https://github.com/THUDM/CodeGeeX2
- https://github.com/vastxie/Happy-ChatGPT
- https://github.com/Alpha-VLLM/LLaMA2-Accessory
- https://github.com/AlibabaResearch/AdvancedLiterateMachinery
- https://github.com/openmedlab/PULSE
- https://github.com/JuneYaooo/medical_kb_chatbot
- https://github.com/MiuLab/Taiwan-LLaMa
- https://github.com/RapidAI/Knowledge-QA-LLM
- https://github.com/NEU-DataMining/PICA
- https://github.com/c121914yu/FastGPT
- https://github.com/nlpxucan/WizardLM
- https://github.com/HIT-SCIR/huozi
- https://github.com/LinkSoul-AI/Chinese-Llama-2-7b
- https://github.com/LinkSoul-AI/LLaSM
- https://github.com/jerry1993-tech/Cornucopia-LLaMA-Fin-Chinese
- https://github.com/facebookresearch/codellama
- https://github.com/wpydcr/LLM-Kit
- https://github.com/LC1332/Luotuo-Chinese-LLM
- https://github.com/LC1332/Chat-Haruhi-Suzumiya
- https://github.com/chroma-core/chroma
- https://github.com/mshumer/gpt-author
- https://github.com/hikariming/alpaca_chinese_dataset
- https://huggingface.co/datasets/michaelwzhu/ChatMed_Consult_Dataset
- https://tianchi.aliyun.com/dataset/95414
- https://github.com/Zjh-819/LLMDataHub
- https://github.com/sufengniu/RefGPT
- https://github.com/chatopera/efaqa-corpus-zh
- https://github.com/HqWu-HITCS/Awesome-Chinese-LLM
- https://github.com/km1994/LLMsNineStoryDemonTower
- https://github.com/wgwang/LLMs-In-China
- https://github.com/catqaq/ChatPiXiu
- https://github.com/BradyFU/Awesome-Multimodal-Large-Language-Models
- https://github.com/lonePatient/awesome-pretrained-chinese-nlp-models
- https://github.com/kyrolabs/awesome-langchain
- https://github.com/wgwang/LLMs-In-China
- https://github.com/lonePatient/awesome-pretrained-chinese-nlp-models
- https://github.com/evanmiller/LLM-Reading-List
- https://github.com/onejune2018/Awesome-Medical-Healthcare-Dataset-For-LLM
- https://github.com/onejune2018/Awesome-LLM-Eval
- https://github.com/atfortes/LLM-Reasoning-Papers
- https://github.com/opendilab/awesome-RLHF
- https://github.com/corca-ai/awesome-llm-security
- https://github.com/DSXiangLi/DecryptPrompt
- https://github.com/THU-KEG/EvaluationPapers4ChatGPT
- https://github.com/tw93/Pake
- https://github.com/NCZkevin/chatglm-web
- https://github.com/LemonQu-GIT/ChatGLM-6B-Engineering
- https://github.com/mlc-ai/mlc-llm
- https://github.com/weaigc/bingo
- https://github.com/eosphoros-ai/DB-GPT
- https://github.com/snexus/llm-search
- https://sdk.vercel.ai/
- LLMs 大语言模型如何在NLP基础任务的落地？也许你应该看看这个
- Scikit-LLM: 用于增强文本分析任务的工具
- ChatGPT之后，值得关注的垂直领域大模型
- Stable Diffusion在电商场景生成AI模特服装拍摄的方案探索
- 一键换装，被谷歌给实现了
- 使用 LoRA 技术对 LLaMA 65B 大模型进行微调及推理
- Modest Understandings on LLM
- 从零详细地梳理一个完整的 LLM 训练流程
- https://github.com/ninehills/blog/issues
- 图生文-绘图理解模型DePlot
- http://lilianweng.github.io/
- 实际案例说明AI时代大语言模型三种微调技术的区别——Prompt-Tuning、Instruction-Tuning和Chain-of-Thought
- 一种大模型prompt-tuning调优方法
- Less is More! 上交清源 && 里海 | 利用200条数据微调模型，怒超MiniGPT-4！
- 关于大模型驱动的AI智能体Agent的一些思考
- 一文盘点「AI自主智能体」的构建、应用、评估
- Claude 2已被越狱？一文带你了解提示攻击！、
- HF中文博客：https://huggingface.co/blog/zh
- llama-2实现新闻分类：https://medium.com/@kshitiz.sahay26
- LangChain 中文文档
- 大规模语言模型：从理论到实践