⑩大模型-全套.rar

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激活函数篇.pdf <span style='color:#111;'> 374.98KB </span>","children":null,"spread":false},{"title":"23-大模型（LLMs）RAG —— 关键痛点及对应解决方案.pdf <span style='color:#111;'> 1.32MB </span>","children":null,"spread":false},{"title":"13-基于langchain RAG问答应用实战.pdf <span style='color:#111;'> 375.71KB </span>","children":null,"spread":false},{"title":"11-大模型（LLMs）langchain 面.pdf <span style='color:#111;'> 630.97KB </span>","children":null,"spread":false},{"title":"8-大模型（LLMs）进阶面.pdf <span style='color:#111;'> 1018.61KB </span>","children":null,"spread":false},{"title":"17-大模型（LLMs）RAG 版面分析——表格识别方法篇.pdf <span style='color:#111;'> 661.74KB </span>","children":null,"spread":false},{"title":"40-大模型（LLMs）训练集面.pdf <span style='color:#111;'> 304.68KB </span>","children":null,"spread":false},{"title":"35-大模型（LLMs）评测面.pdf <span style='color:#111;'> 252.63KB </span>","children":null,"spread":false},{"title":"34-基于lora的llama2二次预训练.pdf <span style='color:#111;'> 2.26MB 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270.99KB </span>","children":null,"spread":false},{"title":"30-如何使用 PEFT库 中 LoRA？.pdf <span style='color:#111;'> 695.69KB </span>","children":null,"spread":false},{"title":"18-大模型（LLMs）RAG 版面分析——文本分块面.pdf <span style='color:#111;'> 482.88KB </span>","children":null,"spread":false},{"title":"42-大模型（LLMs）显存问题面.pdf <span style='color:#111;'> 525.45KB </span>","children":null,"spread":false},{"title":"20-大模型外挂知识库优化——负样本样本挖掘篇.pdf <span style='color:#111;'> 704.02KB </span>","children":null,"spread":false},{"title":"27-适配器微调（Adapter-tuning）篇.pdf <span style='color:#111;'> 184.62KB </span>","children":null,"spread":false},{"title":"14-基于LLM+向量库的文档对话 经验面.pdf <span style='color:#111;'> 2.16MB </span>","children":null,"spread":false},{"title":"16-LLM文档对话 —— pdf解析关键问题.pdf <span style='color:#111;'> 2.14MB </span>","children":null,"spread":false},{"title":"9-大模型（LLMs）微调面.pdf <span style='color:#111;'> 2.89MB </span>","children":null,"spread":false},{"title":"25-Graph RAG 面 — 一种 基于知识图谱的大模型检索增强实现策略.pdf <span style='color:#111;'> 951.70KB </span>","children":null,"spread":false},{"title":"10-LLMs 训练经验帖.pdf <span style='color:#111;'> 253.51KB </span>","children":null,"spread":false},{"title":"43-显存优化策略篇.pdf <span style='color:#111;'> 264.76KB </span>","children":null,"spread":false},{"title":"12-多轮对话中让AI保持长期记忆的8种优化方式篇.pdf <span style='color:#111;'> 362.00KB </span>","children":null,"spread":false},{"title":"33-增量预训练（Pretrain）样本拼接篇.pdf <span style='color:#111;'> 379.90KB </span>","children":null,"spread":false},{"title":"31-大模型（LLMs）推理面.pdf <span style='color:#111;'> 675.29KB </span>","children":null,"spread":false},{"title":"19-大模型外挂知识库优化——如何利用大模型辅助召回？.pdf <span style='color:#111;'> 733.87KB </span>","children":null,"spread":false},{"title":"5-transformers 操作篇.pdf <span style='color:#111;'> 227.10KB </span>","children":null,"spread":false},{"title":"37-大模型（LLMs）强化学习——RLHF及其变种面.pdf <span style='color:#111;'> 2.42MB 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