
Artificial Intelligence (AI) is no longer a futuristic concept. From chatbots answering customer queries to language models assisting developers with code generation, AI has firmly embedded itself in our digital lives. However, we are now standing at the threshold of the next significant evolution in this space—Agentic AI.
While most of today’s AI tools are based on Large Language Models (LLMs) like GPT-4, Claude, or PaLM, Agentic AI is redefining the conversation by adding a new layer of intelligence: autonomy.
In this blog, we will explore how Agentic AI differs from traditional LLMs, the architectural and functional distinctions, and why this shift matters in the broader context of software development, automation, and intelligent systems.
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