Daniela Rodriguez Garcia
Member since 2026
Silver League
725 points
Member since 2026
AI 代理是超越傳統大型語言模型 (LLM) 的重大轉變,這類服務不僅可以生成以文字為基礎的解決方案,還能自主加以執行。本課程介紹 AI 代理的基礎知識、與 LLM API 的差異,以及在實際應用上帶來的價值。本課程內容奠基於 Google 的代理白皮書,介紹實際編寫代理程式碼之前所需的理論基礎,非常適合有意透過目標導向自主行為 (不僅限於文字生成) 來理解 AI 系統的開發人員、架構師和技術決策者。加入社群論壇,提出問題並參與討論。
客戶能透過 Gemini 版 Google Workspace 外掛程式在 Google Workspace 使用生成式 AI 功能。本學習路徑會介紹 Gemini 的主要功能,並說明如何在 Google Workspace 善用這些功能,提高生產力和效率。
瞭解 AI 代理的概念,探索代理如何藉由自主行動及推論解決複雜問題。您將瞭解代理如何透過模型、工具和調度管理程序等技術架構,助您學習、規劃和實現目標。
This video covers how to create a 'project notebook' in NotebookLM by adding all relevant sources to build a central, searchable knowledge hub for your team.
In this video, you'll learn pro tips for conducting thorough competitive research with Gemini Deep Research. You'll see how to enhance a basic prompt by assigning a persona, specifying a table format for the output, and directing the AI to search specific sources like Reddit for richer insights.
This video covers how to create your own Gemini Gems, advanced AI capabilities that can automate repetitive tasks and supercharge your productivity.
This video covers prompt engineering fundamentals for effective AI communication. Learn a simple framework (Persona, Task, Context, Format) to craft clear prompts, getting better, faster results from Gemini in Google Workspace. Discover how to use natural language, be specific, and iterate for optimal AI assistance.