A new Google whitepaper titled "Agents Companion" discusses the evolution and operationalization of AI agents. The whitepaper outlines key concepts like AgentOps, which adapts DevOps and MLOps principles for agent development, and multi-agent architectures, where specialized agents collaborate. It emphasizes the importance of robust evaluation frameworks that go beyond evaluating final outputs to include analyzing the agent's internal steps or "trajectory" and integrating human feedback. It also highlights advancements like Agentic RAG, an iterative approach to retrieval-augmented generation, and present real-world applications, including a detailed case study of multi-agent systems in automotive AI and the enterprise tools Google is developing like Agentspace.

Read more: https://www.marktechpost.com/2025/05/06/google-releases-76-page-whitepaper-on-ai-agents-a-deep-technical-dive-into-agentic-rag-evaluation-frameworks-and-real-world-architectures/

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