"From AI to Generative AI: What's actually new Artificial Intelligence broadly covers machines that can perform tasks requiring human-like intelligence. Machine Learning trains systems to learn from data. Deep Learning uses multi-layered neural networks to recognize complex patterns. Generative AI goes one step further. It doesn't just analyze data or perform tasks, it creates new content: text, images, code, music, and more. That's the real breakthrough."
"I was among the early adopters of ChatGPT, just a few months after its public launch in late 2022. It was a defining moment in the history of technology, the first time we could produce analyses, insights, and even complete outputs simply by typing natural-language prompts, without programming or complex tools. I knew immediately that this would change the world. However, this accessibility has created a double-edged sword. Today, the digital landscape is flooded with "AI experts," unverified tutorials,"
Artificial Intelligence has been integrated into everyday life for decades, powering streaming recommendations, online product suggestions, and targeted digital advertising. Companies have relied on rule-based automation, routines, and machine-learning algorithms to support systems and business processes. Machine learning enables systems to learn from data, while deep learning uses multi-layered neural networks to recognize complex patterns. Generative AI advances deep learning by creating new content — text, images, code, music — rather than only analyzing data or performing tasks. The arrival of conversational models enabled content generation via natural-language prompts, increasing accessibility. Widespread accessibility has also accelerated hype and proliferation of unverified 'AI experts' and tutorials.
Read at TNW | Artificial-Intelligence
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