文件内容:
file:00!晓白学习资源社-资源汇总.jpg
file:37_37finetuning微调.mp4
file:31_31程序员大模型学习最佳实践.mp4
file:24_24使用conda配置知识库项目Python环境.mp4
file:22_22RAGVSFineTuning模型微调.mp4
file:19_19PDF文档表格处理.mp4
file:17_17混合检索HybridSearch.mp4
file:2_2大模型目前固有的局限性.mp4
file:23_23大模型企业级业务场景落地方案实践.mp4
file:4_4文档的加载与切割.mp4
file:21_21实战一RAGWorkflowI作流详解.mp4
file:32_32实战二什么叫预训练好的大模型.mp4
file:16_16ReRanker模型.mp4
file:12_12向量数据库选型.mp4
file:28_28知识库模型问答测试与实际效果评估.mp4
file:35_35Indexing.mp4
file:34_34rag外挂私有知识库.mp4
file:14_14文本分割粒度.mp4
file:38_38增量训练pretrainging.mp4
file:39_39functioncalling调用企业.mp4
file:20_20GraphRAG基本介绍.mp4
file:26_26Embedding文本向量化处理实战.mp4
file:10_10VectorStore向量存储与检索.mp4
file:11_11Chrom向量数据库使用.mp4
file:6_6Prompt模版.mp4
file:8_8文本向量.mp4
file:9_9文本向量是怎么得到的选.mp4
file:33_33大模型的局限性及解决方案.mp4
file:1、RAG工作原理.mp4
file:30_30使用Streamlit创建Web应用实战.mp4
folder:聚客2025最新版大模型RAG入门到精通实战教程