Use LLMs in Colab

✅Colab에서 LLM 사용

1. 자동GPT

• https://github.com/Significant-Gravitas/Auto-GPT
• https://github.com/WangRongsheng/Use-LLMs/tree/main/AutoGPT

2. ChatGen제목

• https://github.com/WangRongsheng/ChatGenTitle
• https://github.com/WangRongsheng/Use-LLMs/tree/main/ChatGenTitle

3. 접지된SAM

• https://github.com/caoyunkang/GroundedSAM-zero-shot-anomaly-Detection
• https://github.com/WangRongsheng/Use-LLMs/tree/main/GroundedSAM

4. MiniGPT-4

• https://github.com/Vision-CAIR/MiniGPT-4
• https://github.com/WangRongsheng/Use-LLMs-in-Colab/tree/main/MiniGPT-4

5. 랭체인

• https://github.com/hwchase17/langchain
• https://github.com/WangRongsheng/Use-LLMs-in-Colab/tree/main/LangChain

6. 세그먼트 무엇이든

• https://github.com/facebookresearch/segment-anything
• https://github.com/WangRongsheng/Use-LLMs-in-Colab/blob/main/segment-anything

7. 중국어-LLaMA-알파카

• https://github.com/ymcui/China-LLaMA-Alpaca
• https://github.com/WangRongsheng/Use-LLMs-in-Colab/tree/main/ Chinese-LLaMA-Alpaca

8. CPM-벌

• https://github.com/OpenBMB/CPM-Bee
• https://github.com/WangRongsheng/Use-LLMs-in-Colab/tree/main/CPM-Bee

9. QWen-VL

• https://github.com/QwenLM/Qwen-VL
• https://github.com/WangRongsheng/Use-LLMs-in-Colab/tree/main/Qwen-VL-Chat

다중 모델

• 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-어댑터
• 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-China-LLaMA-Alpaca
• https://github.com/openmedlab/XrayPULSE
• https://github.com/LinkSoul-AI/중국어-LLaVA
• https://github.com/QwenLM/Qwen-VL

?도구

• 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/중국어-LangChain
• https://github.com/GaiZhenbiao/ChuanhuChatGPT
• https://github.com/ttenwang/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/China-LLaMA-Alpaca
• https://github.com/yuanzhoulvpi2017/zero_nlp
• https://github.com/yanqiangmiffy/중국어-LangChain
• https://github.com/OpenLMLab/ChatZoo
• https://github.com/OFA-Sys/중국어-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-튜닝
• 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
• 지야: https://github.com/IDEA-CCNL/Fengshenbang-LM
• https://github.com/LinkSoul-AI/China-Llama-2-7b
• https://github.com/zjunlp/KnowLM
• https://github.com/zjunlp/EasyEdit
• https://github.com/FlagAlpha/Llama2-중국어
• 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-액세서리
• 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/China-Llama-2-7b
• https://github.com/LinkSoul-AI/LLaSM
• https://github.com/jerry1993-tech/Cornucopia-LLaMA-Fin-중국어
• https://github.com/facebookresearch/codellama
• https://github.com/wpydcr/LLM-Kit
• https://github.com/LC1332/Luotuo-중국어-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

?대리인

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

데이터세트

• 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

?️출처

• https://github.com/HqWu-HITCS/Awesome-China-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

?배포

• 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/

?찾다

• https://github.com/weaviate/Verba

?Label-img

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

조항

• LLM은 NLP에 있는 大语言模型如何?
• Scikit-LLM: 사용 가능한 도구
• ChatGPT 后, 值得关注의 垂直领域大模型
• 안정적인 확산은 AI가 제공하는 방법입니다.
• 一键换装，被谷歌给实现了
• 사용 LoRA 技术对 LLaMA 65B 大模型进行微调及推리
• LLM에 대한 적당한 이해
• 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리解模型DePlot
• http://lilianweng.github.io/
• 实际案例说明AI时代大语言模型3种微调技术的区别——신속한 조정, 명령 조정 및 사고 사슬
• 一种大模型신속 조정调优방법
• 적은 것이 더 많은 것입니다! 上交清源 && 里海 | 200条数据微调模型, 怒超MiniGPT-4!
• 关于大模型驱动的AI智能体에이전트의 一些思考
• 一文盘点「AI自主智能体」的构建、应用、评估
• 클로드 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 새로운 闻分类: https://medium.com/@kshitiz.sahay26
• LangChain 중국어
• 大规模语言模型：从理论到实践
• 斯坦福 《大语言模型与应用》
• 普木斯顿COS509G 《대규모 언어 모델 이해》
• 使用这个工具后，我将 RAG 的准确性和召回率city提高了两倍!
• LLM构建应用实践笔记
• 2023년 AI 현황 보고서