What is an AI Agent, and how does it differ from traditional AI systems?

Answer:

An AI Agent is an autonomous system designed to perceive its environment, make decisions, and act independently to achieve predefined goals. Unlike traditional AI, which relies on fixed rules or human intervention, AI Agents use real-time data, advanced reasoning, and adaptive learning to operate in dynamic environments.

• Key Differences:
  • Autonomy: AI Agents self-govern tasks (e.g., inventory management), while traditional AI requires explicit programming 1.
  • Adaptability: They adjust strategies based on context (e.g., fraud detection in finance), whereas traditional systems lack flexibility 18.
  • Goal-Oriented Behavior: Prioritize objectives like cost reduction or scalability without constant oversight 1.

Example: GitHub Copilot autonomously generates code, reducing developer workload, unlike static code-completion tools 1.