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title: "Google: Agents – Architecture, Tools, and Applications"
slug: "google-agents-architecture-tools-and-applications"
author: "Jeremy Weaver"
date: "2025-01-06 17:22:14"
category: "Premium"
topics: "Generative AI Agents, Agent Architecture and Tools, Reasoning Frameworks, Targeted Learning Enhancements, Applications in LangChain and Vertex AI"
summary: "Generative AI agents extend language models by using external tools and orchestrated reasoning frameworks like ReAct and Chain-of-Thought, with practical implementations shown through examples such as LangChain and Vertex AI."
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Google: Agents – Architecture, Tools, and Applications<br><br><iframe title="Google: Agents – Architecture, Tools, and Applications" allowtransparency="true" height="300" width="100%" style="border: none; min-width: min(100%, 430px);height:300px;" scrolling="no" data-name="pb-iframe-player" src="https://www.podbean.com/player-v2/?from=embed&i=g9kft-179a314-pb&square=1&share=1&download=1&fonts=Arial&skin=1&font-color=auto&rtl=0&logo_link=episode_page&btn-skin=7&size=300" loading="lazy" allowfullscreen=""></iframe><br><br><p>Summary of <a href='https://www.kaggle.com/whitepaper-agents'>Read Full Report</a></p>
<p>This whitepaper explains Generative AI agents, programs extending the capabilities of language models. Agents achieve goals by using tools (Extensions, Functions, and Data Stores) to access external information and perform actions.</p>
<p>The paper details agent architecture, including the model, tools, and orchestration layer, and explores various reasoning frameworks like ReAct and Chain-of-Thought.</p>
<p>It also discusses methods for enhancing model performance through targeted learning and provides examples using LangChain and Vertex AI. Finally, it summarizes the key components and future directions of agent development.</p>