Course Code: ftrag
Duration: 14 hours
Prerequisites:
  • 理解自然语言处理（NLP）概念
  • 具备基于transformer的语言模型经验
  • 熟悉Python及基本机器学习工作流程

受众

  • NLP工程师
  • 知识管理团队
Overview:

Fine-Tuning 檢索增強生成（RAG）系統的過程是優化大型語言模型如何從外部來源檢索並生成相關信息，以用於企業應用。

這項由講師指導的培訓（線上或線下）針對中級NLP工程師和知識管理團隊，他們希望微調RAG管道，以提升在問答、企業搜索和摘要應用場景中的性能。

在培訓結束時，參與者將能夠：

  • 理解RAG系統的架構和工作流程。
  • 針對特定領域數據微調檢索器和生成器組件。
  • 評估RAG性能，並通過PEFT技術進行改進。
  • 部署優化的RAG系統以供內部或生產使用。

課程形式

  • 互動式講座與討論。
  • 大量練習與實踐。
  • 在實時實驗室環境中進行動手實作。

課程定制選項

  • 如需為此課程定制培訓，請聯繫我們安排。
Course Outline:

檢索增強生成（RAG）簡介

  • 什麼是RAG，以及它對企業AI的重要性
  • RAG系統的組件：檢索器、生成器、文件存儲
  • 與獨立LLM和向量搜索的比較

設置RAG管道

  • 安裝和配置Haystack或類似框架
  • 文件攝取和預處理
  • 將檢索器連接到向量數據庫（例如FAISS、Pinecone）

Fine-Tuning 檢索器

  • 使用特定領域數據訓練密集檢索器
  • 使用句子轉換器和對比學習
  • 通過top-k準確率評估檢索器質量

Fine-Tuning 生成器

  • 選擇基礎模型（例如BART、T5、FLAN-T5）
  • 指令微調與監督微調的比較
  • 使用LoRA和PEFT方法進行高效更新

評估與優化

  • 評估RAG性能的指標（例如BLEU、EM、F1）
  • 延遲、檢索質量和幻覺減少
  • 實驗跟踪和迭代改進

部署與現實世界集成

  • 在內部搜索引擎和聊天機器人中部署RAG
  • 安全性、數據訪問和治理考慮
  • 與API、儀表板或知識門戶的集成

案例研究與最佳實踐

  • 金融、醫療和法律領域的企業用例
  • 管理領域漂移和知識庫更新
  • 檢索增強LLM系統的未來方向

總結與下一步

Sites Published:

United Arab Emirates - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Qatar - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Egypt - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Saudi Arabia - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

South Africa - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Brasil - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Canada - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

中国 - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

香港 - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

澳門 - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

台灣 - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

USA - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Österreich - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Schweiz - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Deutschland - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Czech Republic - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Denmark - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Estonia - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Finland - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Greece - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Magyarország - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Ireland - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Luxembourg - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Latvia - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

España - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Italia - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Lithuania - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Nederland - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Norway - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Portugal - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

România - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Sverige - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Türkiye - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Malta - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Belgique - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

France - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

日本 - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Australia - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Malaysia - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

New Zealand - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Philippines - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Singapore - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Thailand - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Vietnam - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

India - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Argentina - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Chile - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Costa Rica - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Ecuador - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Guatemala - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Colombia - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

México - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Panama - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Peru - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Uruguay - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Venezuela - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Polska - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

United Kingdom - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

South Korea - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Pakistan - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Sri Lanka - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Bulgaria - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Bolivia - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Indonesia - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Kazakhstan - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Moldova - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Morocco - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Tunisia - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Kuwait - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Oman - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Slovakia - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Kenya - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Nigeria - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Botswana - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Slovenia - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Croatia - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Serbia - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Bhutan - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Nepal - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Uzbekistan - Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems