The rapid evolution of Large Language Models (LLMs) has shifted from simple chatbots to sophisticated AI agents capable of executing complex workflows. While early models focused on text generation, today’s landscape is defined by "agentic" capabilities—models that can browse the web, write and execute code, and interact with external APIs to complete multi-step tasks. The Rise of Agentic AI
: Companies are using AI agents to simplify large-scale infrastructure management, reducing manual labor through "human-in-the-loop" AI and unified APIs.
by performing specific operations, such as booking a flight or updating a GitHub repository.
The rapid evolution of Large Language Models (LLMs) has shifted from simple chatbots to sophisticated AI agents capable of executing complex workflows. While early models focused on text generation, today’s landscape is defined by "agentic" capabilities—models that can browse the web, write and execute code, and interact with external APIs to complete multi-step tasks. The Rise of Agentic AI
: Companies are using AI agents to simplify large-scale infrastructure management, reducing manual labor through "human-in-the-loop" AI and unified APIs.
by performing specific operations, such as booking a flight or updating a GitHub repository.
