大型語言模型 (LLM) 誕生之後,生成式 AI 應用程式帶來的嶄新使用者體驗,可說是幾乎前所未有。身為應用程式開發人員,您要如何在 Google Cloud,運用生成式 AI 建立出色的互動式應用程式?
本課程將帶您瞭解生成式 AI 應用程式,以及如何使用提示設計和檢索增強生成 (RAG),透過 LLM 建構強大的應用程式。我們也會介紹可用於正式環境的生成式 AI 應用程式架構。您將建構採用 LLM 和 RAG 的對話應用程式。
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說明生成式 AI 應用程式的類型與用途。
說明如何建立提示範本,提升應用程式內模型的回覆品質。
說明 Google Cloud 上支援生成式 AI 應用程式的 RAG 架構子系統。
建構採用 LLM 和 RAG 的對話應用程式。
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May 2025
3 assignments
大型語言模型 (LLM) 誕生之後,生成式 AI 應用程式帶來的嶄新使用者體驗,可說是幾乎前所未有。身為應用程式開發人員,您要如何在 Google Cloud,運用生成式 AI 建立出色的互動式應用程式?
本課程將帶您瞭解生成式 AI 應用程式,以及如何使用提示設計和檢索增強生成 (RAG),透過 LLM 建構強大的應用程式。我們也會介紹可用於正式環境的生成式 AI 應用程式架構。您將建構採用 LLM 和 RAG 的對話應用程式。
本單元將介紹生成式 AI 應用程式,以及可運用生成式 AI 的應用程式類型。您也會瞭解 Google 提供的基礎模型,以及在應用程式使用生成式 AI 的挑戰。
1 assignment5 plugins
本單元將介紹生成式 AI 提示。提示是提交給語言模型的自然語言要求,用來要求回覆。您可以自行設計提示,調整模型的回覆品質。
1 assignment5 plugins
在本單元,您可以動手操作 Vertex AI Studio,透過當中的工具快速設計原型、用自己的資料調整模型,並順暢部署至應用程式。您可以探索 Gemini 的多模態功能、設計提示並生成對話。
1 video1 app item
本單元說明如何提升基礎模型的準確率,帶您瞭解檢索增強生成 (RAG)。RAG 這項技術會根據外部知識來源,為基礎模型建立基準。您也會看到 Google Cloud 上,支援 RAG 的生成式 AI 解決方案架構範例。
1 assignment6 plugins
在本單元,您將使用大型語言模型 (LLM) 和檢索增強生成 (RAG) 建構對話應用程式,生成有趣且資訊豐富的對話。
1 app item
單元 PDF 的連結
1 reading
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