2025最新版大模型RAG入门到精通实战教程

文件内容:

file:37_37finetuning微调.mp4
file:11_11Chrom向量数据库使用.mp4
file:35_35Indexing.mp4
file:30_30使用Streamlit创建Web应用实战.mp4
file:20_20GraphRAG基本介绍.mp4
file:9_9文本向量是怎么得到的选.mp4
file:2_2大模型目前固有的局限性.mp4
file:30_30使用Streamlit创建Web应用实战_20250315_224845.mp4
file:1、RAG工作原理.mp4
file:3_3检索增强生成.mp4
file:22_22RAGVSFineTuning模型微调.mp4
file:19_19PDF文档表格处理.mp4
file:32_32实战二什么叫预训练好的大模型.mp4
file:21_21实战一RAGWorkflowI作流详解.mp4
file:10_10VectorStore向量存储与检索.mp4
file:26_26Embedding文本向量化处理实战.mp4
file:24_24使用conda配置知识库项目Python环境.mp4
file:18_18RRF.mp4
file:16_16ReRanker模型.mp4
file:17_17混合检索HybridSearch.mp4
file:5_5LLM接口封装.mp4
file:39_39functioncalling调用企业.mp4
file:31_31程序员大模型学习最佳实践.mp4
file:8_8文本向量.mp4
file:4_4文档的加载与切割.mp4
file:29_29使用Llamalndex创建知识库实战.mp4
file:25_25SentenceTransformer大模型详解.mp4
file:6_6Prompt模版.mp4
file:13_13RAG高级进阶实战.mp4
file:27_27InternLM218BQwen25I05B模型实战.mp4
folder:2025最新版大模型RAG入门到精通实战教程