An AI agent is an application powered by Generative AI (GenAI) that aims to achieve specific goals by utilizing a language model, tools, and an execution loop. These agents represent a significant evolution in AI capabilities, enabling complex decision-making, reasoning, and iterative task completion—transforming industries by handling repetitive work.
In practical scenarios, such as healthcare, AI agents can analyze symptoms, pull lab results, and propose treatment plans. This shift towards agentic AI emphasizes autonomy, as agents can now utilize structured memory, knowledge graphs, and contextual data to enhance accuracy and decision-making.
Emerging frameworks and protocols streamline integrating AI agents into business applications. They can automate tasks in areas like customer service, finance, and human resources. Building robust AI agents requires clear scopes, structured context management, and human oversight to mitigate risks like infinite loops or context hallucination. As AI continues to evolve, these intelligent systems will increasingly revolutionize workflows, driving productivity across various sectors.
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