This article discusses the differences between correlation and causation in predictive AI and the emergence of generative AI, which uses deep learning, machine learning, and neural networks to create new content. While generative AI has benefits such as automation and cost reduction, it also poses challenges such as bias and ethical issues. The article also explains how generative AI models function, using prompts and training data to generate new content.
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