From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. But with the advent of GPT-3 in 2020, LLMs exploded onto the scene, captivating the world’s attention and forever altering the landscape of artificial intelligence (AI), and in the process, becoming an essential part of our everyday computing lives. There are many areas of research and focus sprouting from the capabilities presented through LLMs. In 2024, a new trend called agentic AI emerged. Agentic AI is the next leap forward beyond traditional AI to systems that are capable of handling complex, multi-step activities utilizing components called agents. LLMs by themselves are not agents. They have no goal. However, they are used as a prominent component of agentic AI. Agents will play different roles as part of a complex workflow, automating tasks more efficiently. It doesn’t just respond, it learns, adapts and takes actions of its own.

Full opinion : How autonomous agents are transforming workflows, from design to implementation, and driving ROI.