Agentic AI is an artificial intelligence technology that has the ability to make decisions, take independent actions, and continuously improve through learning from interactions.
Built on foundation models like LLMs, Agentic AI can reason, analyze, and adapt to complex tasks. However, it requires additional technologies to interact with its environment, make decisions, and execute actions.
It acts autonomously, planning and executing tasks with reasoning models to solve more complex challenges. Agentic AI senses its environment, processing multimodal data such as text, images, and audio.
It uses tools and systems to complete tasks, collaborating with other systems and bots in multiagent setups. By accessing memory, it maintains context for tasks and learns from experience to improve over time.
