agentic Introduction

Agentic AI systems operate through sophisticated workflows that combine multiple AI agents, each specialized for specific tasks. At their core, these systems utilize large language models to process and generate human-like text, enabling natural interactions and complex reasoning. The AI agents can access and utilize various tools, APIs, and external software to gather information, execute code, and interact with other systems. They employ planning capabilities to predict future states and select optimal actions to achieve goals. Memory components allow the agents to retain past experiences and knowledge, facilitating continuous learning and improvement. This architecture enables agentic AI to handle intricate, multi-step processes autonomously, from customer service inquiries to complex business operations, adapting to new information and circumstances in real-time.