From LLM to Workflow: How Agents Take Action

LLMs Alone Are Not Enough Large Language Models (LLMs) are incredibly powerful, but on their own, they are simply advanced text generators. What makes them truly useful in real-world applications is their integration into AI agents—systems designed to take action, not just generate responses. What Makes AI Agents Different AI agents are built on top […]

RAG-Powered AI Agents: Why Retrieval-Augmented Generation Is a Game Changer

How RAG-Powered AI Agents Work and Learn RAG-powered AI agents typically rely on neural networks, which are loosely inspired by the human brain’s structure. These systems learn to detect patterns in large datasets through supervised or unsupervised learning. During training, the model processes massive amounts of data to understand relationships between input and output. However, […]

Types of AI Agents: Task-Based, Goal-Oriented, and Multi-Agent Systems

Types of Intelligent Systems in AI Intelligent systems in AI come in different types, each designed for specific roles depending on goals and environments. These systems play a vital role in how artificial intelligence works across industries, from automation to smart decision-making. The main types include Task-Based Systems, Goal-Oriented Systems, and Multi-Agent Systems—each with its […]