vegisetti kasiviswanath
成为会员时间：2023
白银联赛
5179 积分
使用智能体开发套件 (ADK) 打造您的首个智能体
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
使用智能体开发套件 (ADK) 打造智能体
Earned May 9, 2026 EDT
Google DeepMind: 01 Build Your Own Small Language Model
Earned Apr 5, 2026 EDT
适用于生成式 AI 的机器学习运维 (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
负责任的 AI 简介
Earned Dec 2, 2025 EST
大型语言模型简介
Earned Dec 2, 2025 EST
生成式 AI 简介
Earned Dec 2, 2025 EST
使用 Google 的智能体开发套件 (ADK) 构建、配置和运行您的第一个 AI 智能体，将您对智能体的理解转化为实际应用。
在本实操课程中，您将设置一个完整的 ADK 开发环境，使用 Python 代码和 YAML 配置两种方式创建智能体，并通过多个界面运行智能体。您还将学习定义智能体行为的核心参数，将您在课程 1 中学到的知识应用到实际代码中。
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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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了解如何使用智能体开发套件 (ADK) 构建可用于生产用途的复杂 AI 智能体。本课程介绍了 ADK 的开源框架，助力开发者从简单的提示工程跨越到代码优先的结构化软件开发方法，从而构建企业级多智能体系统。
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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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本课程致力于为您提供所需的知识和工具，让您能够了解 MLOps 团队在部署和管理生成式 AI 模型以及探索 Vertex AI 如何帮助 AI 团队简化 MLOps 流程时面临的独特挑战，并帮助您在生成式 AI 项目中取得成功。
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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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这是一节入门级微课程，旨在解释什么是负责任的 AI、它的重要性，以及 Google 如何在自己的产品中实现负责任的 AI。此外，本课程还介绍了 Google 的 7 个 AI 开发原则。
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这是一节入门级微学习课程，探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能，还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。
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这是一节入门级微课程，旨在解释什么是生成式 AI、它的用途以及与传统机器学习方法的区别。该课程还介绍了可以帮助您开发自己的生成式 AI 应用的各种 Google 工具。
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