AI agents gather and process data from various sources, such as website, databases and social medias.
Reason
LLM acts as the orchestrator, or reasoning engine, that understands tasks, generates solutions and coordinates specialized models for specific functions like content creation, visual processing or recommendation systems.
Act
Agentic AI can quickly execute tasks based on task description, role and backstory defined. Guardrails can be built into AI agents to help ensure they execute tasks correctly.
Learn
Agentic AI continuously improves through a human feedback loop where the data generated from its interactions is fed into the system to enhance models.