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Evolution of AI: From LLMs as Basic Mimics to Advanced Agentic Systems, Highlighting the Transition from Simple Input-Output Models to Complex, Interactive Networks. In the early days of Generative AI hype, Large Language Models (LLMs) felt magical. You could type a question, and the machine would respond in coherent, human-like language. But very quickly, the world realized something: LLMs could talk , but they couldn’t do . This gap - between saying  and acting - set the s

For decades, technology has been about logic - precise instructions, structured data, clean architecture, and predictable outcomes. But the world has changed. We’ve entered an era where machines don’t just compute - they create . And for tech professionals, this is not just another trend. This is the shift. Generative AI is redefining how software is conceived, built, and delivered. It’s no longer just about what  you can code - it’s about what you can imagine . Creativity Is