文件内容:
file:25_25SentenceTransformer大模型详解.mp4
file:29_29使用Llamalndex创建知识库实战.mp4
file:27_27InternLM218BQwen25I05B模型实战.mp4
file:10_10VectorStore向量存储与检索.mp4
file:23_23大模型企业级业务场景落地方案实践.mp4
file:24_24使用conda配置知识库项目Python环境【耗时整理‖cunlove.cn】.mp4
file:36_36检索和生成.mp4
file:13_13RAG高级进阶实战.mp4
file:22_22RAGVSFineTuning模型微调【公众号：CunWorkNotes】.mp4
file:2_2大模型目前固有的局限性.mp4
file:35_35Indexing.mp4
file:17_17混合检索HybridSearch.mp4
file:16_16ReRanker模型.mp4
file:21_21实战一RAGWorkflowI作流详解.mp4
file:38_38增量训练pretrainging.mp4
file:37_37finetuning微调【耗时整理‖cunlove.cn】.mp4
file:14_14文本分割粒度.mp4
file:11_11Chrom向量数据库使用.mp4
file:31_31程序员大模型学习最佳实践【耗时整理‖cunlove.cn】.mp4
file:6_6Prompt模版.mp4
file:34_34rag外挂私有知识库.mp4
file:9_9文本向量是怎么得到的选.mp4
file:5_5LLM接口封装.mp4
file:30_30使用Streamlit创建Web应用实战.mp4
file:15_15检索后排序.mp4
file:4_4文档的加载与切割.mp4
file:1、RAG工作原理.mp4
file:26_26Embedding文本向量化处理实战.mp4
file:32_32实战二什么叫预训练好的大模型.mp4
file:20_20GraphRAG基本介绍.mp4
folder:0620.聚客2025最新版大模型RAG入门到精通实战教程