complex user requests into smaller, manageable sub-tasks.
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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 complex user requests into smaller, manageable sub-tasks
: Utilizing on-device AI to reduce latency and enhance user privacy, as seen in recent Google Research updates. complex user requests into smaller
their approach based on feedback or error messages received during the process. Key Innovations in 2026