Is Generative AI really what is used here? I would’ve assumed a LLM to vastly outperform stuff like a GAN for a summary task? Or do we colloquially group those two under “generative AI?” But if we do then aren’t basically all AI generative since making something is what we typically use code for? What would be an example of a non-generative AI then?
I think the reason people refer to LLMs as generative comes from the term GPT, which is short for generative pre-trained transformer I believe. At its core, it generates new outputs based on previous ones, and its purpose is to create new content. There are plenty of models that are not generative, like dedicated classifiers (think sentiment analyzers, models that try to identify what an object is, etc).
Is Generative AI really what is used here? I would’ve assumed a LLM to vastly outperform stuff like a GAN for a summary task? Or do we colloquially group those two under “generative AI?” But if we do then aren’t basically all AI generative since making something is what we typically use code for? What would be an example of a non-generative AI then?
I think the reason people refer to LLMs as generative comes from the term GPT, which is short for generative pre-trained transformer I believe. At its core, it generates new outputs based on previous ones, and its purpose is to create new content. There are plenty of models that are not generative, like dedicated classifiers (think sentiment analyzers, models that try to identify what an object is, etc).