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I think we have a vocabulary problem here, because I am having a hard time understanding what you are trying to say. You appear to be comparing apples to orang
by adastra22 1y ago
I think we have a vocabulary problem here, because I am having a hard time understanding what you are trying to say.
You appear to be comparing apples to oranges. A generation task is not a categorization task. Machine learning solves categorization problems. Generative AI uses model trained by machine learning methods, but in a very different architecture to solve generative problems. Completely different and incomparable application domain.
- sdenton4 1y agoAnd yet, people very often find themselves using generative models for categorization and information retrieval tasks...
- ainch 1y agoI think you're overstating the distinction between ML and generation - plenty of ML methods involve generative models. Even basic linear regression with a squared loss can also be framed as a generative model derived by assuming Gaussian noise. Probabilistic PCA, HMMs, GMMs etc... generation has been a core part of ML for over 20 years.