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The rapid evolution of Large Language Models (LLMs) has shifted from simple chatbots to sophisticated AI agents capable of executing complex workflows. While early models focused on text generation, today’s landscape is defined by "agentic" capabilities—models that can browse the web, write and execute code, and interact with external APIs to complete multi-step tasks. The Rise of Agentic AI

: Utilizing on-device AI to reduce latency and enhance user privacy, as seen in recent Google Research updates.

: Implementing tools to monitor agent decision-making processes to ensure reliability and safety. TECHNOLOGY BLOG

: Understanding how to securely connect AI models to external tools and enterprise data.

complex user requests into smaller, manageable sub-tasks. The rapid evolution of Large Language Models (LLMs)

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