Agentic AI is a subset of generative AI that uses AI agents to autonomously plan, make decisions, and execute tasks with minimal human intervention. It goes beyond content generation and can take effective actions in the real world.
Agentic AI can
- perceive information from its environment,
- reason through data using a large language model (LLM) as its core decision-making engine,
- break tasks into steps,
- act on each step using available tools and systems, and
- refine its approach based on the results.
Agentic AI is already being applied across industries. In healthcare, it can assist with diagnosis and treatment planning by analyzing medical records and research. In software development, it can automate code generation, documentation, testing, and debugging.
The actions these autonomous systems take can have real consequences for businesses and individuals, so AI guardrails and human-in-the-loop systems are important.
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