sc94597 said:
Current Generative AI is almost always implemented with Machine Learning algorithms. So it really doesn't make sense to say "based more on gen ai than ML." These models are examples of both. Now there has historically been Generative AI that isn't connectionist or even generally under the category of "Machine Learning", but those are really old examples like symbolic story generators (i.e TALE-SPIN) or grammar/rules-based chat bots like ELIZA. So not all Gen AI is "Machine Learning", but most current examples certainly are. Deep Learning is a sub-set of Machine Learning which is a sub-set of AI. Almost all recent Gen AI is implemented via self-supervised and supervised deep learning models. "Generative AI" mostly describes what a model does/its objective, not necessarily how it is implemented. Edit: This diagram is helpful.
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You're right. Thanks for the clarification here. I suppose I was looking more for the word 'automation' which we've seen in software for a few decades already.
And thanks for the diagram!
