Machine learning has gone through incredible transformations over the past decade — from traditional supervised models to deep learning architectures that power voice assistants, recommendation systems, and more. But the next big leap? Autonomous AI agents.
These are not just models that respond to prompts — they’re systems that can act, plan, and adapt toward goals with minimal human intervention. Think of them as self-driving software for problem-solving.
👉 Dive into a full breakdown of how autonomous AI agents are reshaping the ML landscape:
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