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Use LLMs in Colab

✅Use LLMs no Colab

  1. AutoGPT
  • https://github.com/Significant-Gravitas/Auto-GPT
  • https://github.com/WangRongsheng/Use-LLMs/tree/main/AutoGPT
  1. ChatGenTitle
  • https://github.com/WangRongsheng/ChatGenTitle
  • https://github.com/WangRongsheng/Use-LLMs/tree/main/ChatGenTitle
  1. AterradoSAM
  • https://github.com/caoyunkang/GroundedSAM-zero-shot-anomaly-detection
  • https://github.com/WangRongsheng/Use-LLMs/tree/main/GroundedSAM
  1. MiniGPT-4
  • https://github.com/Vision-CAIR/MiniGPT-4
  • https://github.com/WangRongsheng/Use-LLMs-in-Colab/tree/main/MiniGPT-4
  1. LangChain
  • https://github.com/hwchase17/langchain
  • https://github.com/WangRongsheng/Use-LLMs-in-Colab/tree/main/LangChain
  1. segmentar qualquer coisa
  • https://github.com/facebookresearch/segment-anything
  • https://github.com/WangRongsheng/Use-LLMs-in-Colab/blob/main/segment-anything
  1. Chinês-LLaMA-Alpaca
  • https://github.com/ymcui/Chinese-LLaMA-Alpaca
  • https://github.com/WangRongsheng/Use-LLMs-in-Colab/tree/main/Chinese-LLaMA-Alpaca
  1. CPM-Bee
  • https://github.com/OpenBMB/CPM-Bee
  • https://github.com/WangRongsheng/Use-LLMs-in-Colab/tree/main/CPM-Bee
  1. QWen-VL
  • https://github.com/QwenLM/Qwen-VL
  • https://github.com/WangRongsheng/Use-LLMs-in-Colab/tree/main/Qwen-VL-Chat

Multimodelo

  • 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

?Ferramentas

  • 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/Fast
  • 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/Easy
  • 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/SerCeMan/fontogen
  • https://github.com/RedisVentures/ArXivChatGuru
  • https://github.com/RUC-GSAI/YuLan-IR/tree/main/RETA-LLM

?Agente

  • https://github.com/Paitesanshi/LLM-Agent-Survey
  • https://github.com/modelscope/modelscope-agent

Conjunto de dados

  • 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

?️Fontes

  • 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

?Implantar

  • 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/

?Procurar

  • https://github.com/weaviate/Verba

?Rótulo-img

  • https://github.com/yatengLG/ISAT_with_segment_anything
  • https://github.com/CVHub520/X-AnyLabeling

Artigos

  • LLMs 大语言模型如何在NLP基础任务的落地?
  • 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
  • Difusão Estável
  • 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
  • Entendimentos modestos sobre 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——Ajuste de Prompt,Ajuste de Instrução和Cadeia de Pensamento
  • 一种大模型prompt-tuning调优方法
  • Menos é mais! 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
  • 斯坦福《大语言模型与应用》
  • 普林斯顿COS509G《Compreendendo modelos de linguagem grande》
  • 使用这个工具后,我将 RAG 的准确性和召回率都提高了两倍！
  • 利用LLM构建应用实践笔记
  • Relatório sobre o estado da IA ​​2023
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