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llm-book

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Dive into the transformative world of NLP with this guide on Transformers. Journey from the roots of NLP to advanced Transformer variants like BERT and GPT. Discover their architecture, practical applications, ethical considerations, and future prospects. A comprehensive resource for AI enthusiasts and experts alike.

  • Updated Aug 28, 2023

从0开始大模型开发与微调|基于PyTorch与ChatGLM|PyTorch2.0深度学习环境搭建|从0学习深度学习|基础算法详解|神经网络|梯度下降|基于PyTorch卷积层的MNIST实战|可视化PyTorch数据处理和模型展示|RestNet实战|词嵌入|基于循环神经网络的中文情感分类|NLP编码器|预训练模型BERT|从1开始的NLP解码器|强化学习实战|ChatGLM使用详解高级微调|定制化应用|使用详解|训练自己的ChatGPT|只具有解码器的GPT2模型|基于加速库Accelerator的全量数据微调|基于Lora的模型微调|基于Huggingface的PERT模型微调

  • Updated May 5, 2025
  • Python

完||大模型应用开发极简入门|基于GPT-4和ChatGPT|Olivier Caelen,Marie-Alice Blete著,GPT工作方式,将LLM集成到基于Python的自然语言应用程序中,基于GPT的文本生成,内容摘要,提示词工程,为特定任务微调模型,插件,LangChain

  • Updated Apr 27, 2025
  • Python

AI Agents应用与项目实战||Agent框架和应用|使用Coze打造专属Agent|打造专属领域的客服聊天机器人|AutoGenAgent开发框架实战|生成式代理|斯坦福AI小镇|RAG检索建构分析|RAG部署本地知识库|LLM本地部署和应用|Llama3模型的微调量化部署和应用|PEFT微调实战打造医疗领域LLM|LLM和LORA微调策略解读|

  • Updated May 17, 2025

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