Agents vs Agentic AI โ€” Whatโ€™s the Difference?

Artificial Intelligence has become smarter, faster, and more autonomous. But in the growing AI landscape, you might have come across terms like โ€œAgentsโ€ and โ€œAgentic AIโ€ โ€” sometimes used interchangeably, sometimes not. So what exactly do these mean? And why should you care? Letโ€™s clear the fog. What Are Agents? In AI, an agent is... Continue Reading →

Different AI LLM Models and Their Differences โ€” and How They Got Their Names

Large Language Models (LLMs) have become the core of modern AI โ€” powering everything from chatbots to code generation to deep research assistants. While most people know what the models can do, far fewer know why they are called what they are. Hereโ€™s a breakdown of the most popular LLMs today, their strengths, weaknesses, and... Continue Reading →

Traditional AI vs. GenAI โ€” Understanding the Shift

Artificial Intelligence (AI) is not new. Itโ€™s been powering recommendations, fraud detection, and automation for decades. But in the past couple of years, a new term has entered the spotlight โ€” Generative AI (GenAI). At first glance, both seem like โ€œAI.โ€ But under the hood, their goals, capabilities, and approaches are very different. Letโ€™s break... Continue Reading →

What Exactly Are LLMs?

If youโ€™ve been anywhere near the AI world lately, youโ€™ve probably heard the term LLM tossed around like confetti. Tech blogs rave about them, companies race to deploy them, and suddenly, theyโ€™re everywhere. But what exactly is an LLM? And why has it become the cornerstone of modern AI? Letโ€™s break it down. LLM =... Continue Reading →

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