<![CDATA[a99615的博客]]>

<![CDATA[a99615的博客]]>https://blog.youkuaiyun.com/a99615zh-cnhttps://blog.youkuaiyun.com/<![CDATA[Project：电商图谱&智能客服系统]]>https://blog.youkuaiyun.com/a99615/article/details/160475536https://blog.youkuaiyun.com/a99615/article/details/160475536a99615Fri, 15 May 2026 11:19:28 +0800<![CDATA[（UPDATING）LLM微调之实战，SFTTrainer官方案例、LoRA/QloRA微调案例、Unsloth、分布式训练、LLaMA Factory]]>https://blog.youkuaiyun.com/a99615/article/details/160227640https://blog.youkuaiyun.com/a99615/article/details/160227640a99615Tue, 21 Apr 2026 12:24:28 +0800<![CDATA[LLM微调原理之监督微调SFT，全参/参数高效微调，LoRA、QloRA、分布式训练（ZeRO）]]>https://blog.youkuaiyun.com/a99615/article/details/160154841https://blog.youkuaiyun.com/a99615/article/details/160154841a99615Thu, 16 Apr 2026 15:56:15 +0800<![CDATA[LLM发展历史与架构演进，包括Attention（MHA、MQA、GQA、MLA），FFN（激活函数，Moe），残差连接和归一化，位置编码（旋转位置编码RoPE）]]>https://blog.youkuaiyun.com/a99615/article/details/160114571https://blog.youkuaiyun.com/a99615/article/details/160114571a99615Tue, 14 Apr 2026 16:59:57 +0800<![CDATA[LangChain开发框架，Model I/O，Chains，RAG流程，agent，添加记忆，MCP，多Agent案例]]>https://blog.youkuaiyun.com/a99615/article/details/159427342https://blog.youkuaiyun.com/a99615/article/details/159427342a99615Thu, 09 Apr 2026 18:03:00 +0800<![CDATA[云服务器——购买和连接云服务器]]>https://blog.youkuaiyun.com/a99615/article/details/159424593https://blog.youkuaiyun.com/a99615/article/details/159424593a99615Tue, 24 Mar 2026 14:52:29 +0800<![CDATA[Hugging Face生态，包括Datasets、Tokenizers、Transformers的API使用，预训练模型+微调案例]]>https://blog.youkuaiyun.com/a99615/article/details/159204847https://blog.youkuaiyun.com/a99615/article/details/159204847a99615Tue, 24 Mar 2026 13:46:18 +0800<![CDATA[三种预训练模型架构GPT、BERT、T5]]>https://blog.youkuaiyun.com/a99615/article/details/159173140https://blog.youkuaiyun.com/a99615/article/details/159173140a99615Wed, 18 Mar 2026 12:49:31 +0800<![CDATA[Transformer模型、整体结构，编码器与解码器内部组成，自注意力机制，位置编码，mask机制，API使用，附中英翻译案例]]>https://blog.youkuaiyun.com/a99615/article/details/158887781https://blog.youkuaiyun.com/a99615/article/details/158887781a99615Fri, 13 Mar 2026 19:24:09 +0800<![CDATA[Seq2Seq模型架构的原理、基础结构，引入编码器和解码器，Attention机制，并附中英翻译案例]]>https://blog.youkuaiyun.com/a99615/article/details/158736004https://blog.youkuaiyun.com/a99615/article/details/158736004a99615Fri, 06 Mar 2026 19:43:29 +0800<![CDATA[LSTM、GRU的原理、基础结构、API使用方法附文本情感分析案例]]>https://blog.youkuaiyun.com/a99615/article/details/158662408https://blog.youkuaiyun.com/a99615/article/details/158662408a99615Wed, 04 Mar 2026 22:03:57 +0800<![CDATA[IMAGE-SIMILARITY]]>https://blog.youkuaiyun.com/a99615/article/details/157549505https://blog.youkuaiyun.com/a99615/article/details/157549505a99615Sat, 31 Jan 2026 00:52:27 +0800<![CDATA[RNN循环神经网络、词嵌入层、循环网络层、古诗生成案例]]>https://blog.youkuaiyun.com/a99615/article/details/157336635https://blog.youkuaiyun.com/a99615/article/details/157336635a99615Sun, 25 Jan 2026 18:12:00 +0800<![CDATA[CNN卷积神经网络、CNN概述、卷积层、池化层、深度卷积神经网络、服装分类案例]]>https://blog.youkuaiyun.com/a99615/article/details/156864767https://blog.youkuaiyun.com/a99615/article/details/156864767a99615Mon, 12 Jan 2026 19:06:52 +0800<![CDATA[深度学习之PyTorch（下）损失函数、参数更新方法、附经典案例在PyTorch中的应用]]>https://blog.youkuaiyun.com/a99615/article/details/156397608https://blog.youkuaiyun.com/a99615/article/details/156397608a99615Mon, 29 Dec 2025 20:54:42 +0800<![CDATA[PyTorch安装]]>https://blog.youkuaiyun.com/a99615/article/details/155710799https://blog.youkuaiyun.com/a99615/article/details/155710799a99615Mon, 08 Dec 2025 17:10:37 +0800<![CDATA[深度学习之PyTorch（上）]]>https://blog.youkuaiyun.com/a99615/article/details/155709484https://blog.youkuaiyun.com/a99615/article/details/155709484a99615Mon, 08 Dec 2025 16:24:54 +0800<![CDATA[（论文复现）Benchmarking Adversarial Robustness to Bias Elicitation in Large Language Models]]>https://blog.youkuaiyun.com/a99615/article/details/155494904https://blog.youkuaiyun.com/a99615/article/details/155494904a99615Tue, 02 Dec 2025 14:34:21 +0800<![CDATA[深度学习核心2.0之反向传播、梯度消失/爆炸、更新参数优化方法Adam、SGD、AdaDrad、RMSProp]]>https://blog.youkuaiyun.com/a99615/article/details/154753955https://blog.youkuaiyun.com/a99615/article/details/154753955a99615Wed, 12 Nov 2025 22:52:04 +0800<![CDATA[深度学习核心1.0之神经网络基础、激活函数、损失函数、数值微分、梯度下降法和简单神经网络的创建]]>https://blog.youkuaiyun.com/a99615/article/details/154361976https://blog.youkuaiyun.com/a99615/article/details/154361976a99615Mon, 03 Nov 2025 21:36:52 +0800