vegisetti kasiviswanath
Member since 2023
Silver League
5179 points
使用 Agent Development Kit (ADK) 打造您的第一個 AI 代理
Earned May 25, 2026 EDT
[Deprecated] AI Boost Bites: Your Personal AI Study Partner
Earned May 11, 2026 EDT
[DEPRECATED] AI Boost Bites: Intro to NotebookLM
Earned May 11, 2026 EDT
使用 Agent Development Kit (ADK) 打造 AI 代理
Earned May 9, 2026 EDT
Google DeepMind: 01 Build Your Own Small Language Model
Earned Apr 5, 2026 EDT
生成式 AI 適用的機器學習運作 (MLOps)
Earned Mar 1, 2026 EST
AI Boost Bites: Prompting like a Pro with Google Workspace
Earned Mar 1, 2026 EST
How to Use TPUs for Inference
Earned Jan 17, 2026 EST
Architecting an AI Inference Stack
Earned Dec 18, 2025 EST
AI Boost Bites: Your Personal Feedback Agent
Earned Dec 2, 2025 EST
負責任的 AI 技術簡介
Earned Dec 2, 2025 EST
大型語言模型簡介
Earned Dec 2, 2025 EST
生成式 AI 簡介
Earned Dec 2, 2025 EST
使用 Agent Development Kit (ADK) 建構、設定及執行您的第一個 AI 代理，將自身代理知識化為實際成果。
在這堂實作課程，您會設立完整的 ADK 開發環境，並使用 Python 程式碼和 YAML 設定打造代理，然後透過多個介面執行。您也會瞭解定義代理行為的核心參數，將課程 1 的學習成果轉化為實際運作的程式碼。
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In this video, you'll learn to use NotebookLM as your personal AI study partner. Master the art of converting dense documentation into smart study guides, flashcards, and quizzes to ramp up quickly on new policies and industry research.
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This video covers how to use NotebookLM as a personal research
assistant by adding sources, asking questions, and generating new content
formats based on your documents.
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瞭解如何使用 Agent Development Kit (ADK)，建構複雜的 AI 代理並用於正式環境。本課程介紹 ADK 的開放原始碼框架，包括簡單的提示工程，以及程式碼優先的結構化軟體開發做法 (適用於企業級多代理系統)。
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In this Google DeepMind course, you will learn the fundamentals of language models and gain a high-level understanding of the machine learning development pipeline. You will consider the strengths and limitations of traditional n-gram models and advanced transformer models. Practical coding labs will enable you to develop insights into how machine learning models work and how they can be used to generate text and identify patterns in language. Through real-world case studies, you will build an understanding around how research engineers operate. Drawing on these insights you will identify problems that you wish to tackle in your own community and consider how to leverage the power of machine learning responsibly to address these problems within a global and local context.
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本課程旨在提供必要的知識和工具，協助您探索機器學習運作團隊在部署及管理生成式 AI 模型時面臨的獨特挑戰，並瞭解 Vertex AI 如何幫 AI 團隊簡化機器學習運作程序，打造成效非凡的生成式 AI 專案。
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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.
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This course is for developers interested in learning how to use TPUs for inference—from architecture to deployment, and how to solve common implementation challenges.
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This course is designed for developers looking to build an optimized AI inference stack on Google Cloud. Whether you’re working with GPUs or TPUs, you’ll explore the fundamental components of an inference stack, learn design principles for maximizing performance and reliability, and explore practical techniques to take your workloads from 0 to 1.
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This video covers how to build a personalized "Work with Me" agent using Gemini Gems, which helps streamline foundational feedback and makes your meetings more strategic and efficient.
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這個入門微學習課程主要介紹「負責任的 AI 技術」和其重要性，以及 Google 如何在自家產品中導入這項技術。本課程也會說明 Google 的 7 個 AI 開發原則。
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這是一堂入門級的微學習課程，旨在探討大型語言模型 (LLM) 的定義和用途，並說明如何調整提示來提高 LLM 成效。此外，也會介紹多項 Google 工具，協助您自行開發生成式 AI 應用程式。
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這個入門微學習課程主要說明生成式 AI 的定義和使用方式，以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具，協助您開發自己的生成式 AI 應用程式。
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