大型LLM、RAG实战模型-LmInAction.zip

# LlmInAction 大模型LLM，RAG实战,公众号“八一菜刀”同步更新  ## 文章列表 - [开篇-续写AI技术新篇,融汇工程化实践](https://mp.weixin.qq.com/s/rFclAZiPOrTTtpt4gvY_tg) - [实战0-1,Java开发者也能看懂的大模型应用开发实践](https://mp.weixin.qq.com/s/UeMSA35L5oCSLAk6RxSMgw) > 视频：[https://www.bilibili.com/video/BV1Uw411A7qD](https://www.bilibili.com/video/BV1Uw411A7qD/?spm_id_from=333.999.0.0&vd_source=ef34098d916a578698508a43063099ac) > > 代码：[llm_chat_java_hello](llm_chat_java_hello) - [用好大模型?这5种实用的Prompt框架你一定要看看!](https://www.xiaominfo.com/posts/use-prompt-framework/) - [TorchV的RAG实践分享（一）——RAG的定位、技术选型和RAG技术文章目录](https://mp.weixin.qq.com/s/4D1XxrYcBS5UO6wazPWihg) - [基于Apple MLX框架的M1设备上大模型微调实践](https://www.xiaominfo.com/2023/12/17/apple-mlx-lora-action/) - [TorchV的RAG实践分享(二)：基于ElasticSearch的混合检索实战&原理分析](https://mp.weixin.qq.com/s/EBaGXFOnNHmF_rj_NLf_Ww) - [TorchV的RAG实践分享(三):解析llama_index的数据存储结构和召回策略过程](https://www.xiaominfo.com/2024/01/14/torchv-rag-3/) - [TorchV的RAG实践分享（四）——开放试用](https://www.luxiangdong.com/2024/01/25/lanuch-1/?utm_source=xiaoymin) - [创业：大模型RAG系统三个月的开发心得和思考](https://www.xiaominfo.com/2024/04/01/torchv-summary-01/) - [我对《RAG/大模型/非结构化数据知识库类产品》技术架构的思考、杂谈](https://www.xiaominfo.com/2024/07/03/torchv-think/) - [RAG工程实践拦路虎之一：PDF格式解析杂谈](https://www.xiaominfo.com/2024/07/08/torchv-pdf-01/) - [记录QWen2-72B-Instruct模型安装部署过程](https://mp.weixin.qq.com/s/7MzqwEXHKwZdnZ0Ud5Oejw) - [非结构化数据解析 &GenAI的应用探索和实践（文字稿）](https://mp.weixin.qq.com/s/1nV7XTGSQ6C9sW-122teWg)