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AI Agent Loop is the core architecture of autonomous AI systems that enables them to perform complex tasks with minimal human intervention. Unlike traditional chatbots, which provide a single response to a user prompt, AI agents continuously work through a cycle of Perceive → Reason → Plan → Act → Observe, repeatedly refining their actions until the assigned goal is achieved.
The evolution of AI has progressed from rule-based systems to machine learning, generative AI, and now Agentic AI, where AI systems can independently plan, use external tools, evaluate results, and correct their own mistakes. This shift marks a major advancement from passive assistants to autonomous digital workers capable of handling multi-step tasks.
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Learn about AI Agent Loop architecture enabling autonomous systems to perform complex tasks. Explore agentic AI, applications, and India's approach to responsible AI adoption.
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