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Means 13x bigger models? I hear the data is the limit, but I don't believe it.
by seeknotfind 2y ago
Means 13x bigger models? I hear the data is the limit, but I don't believe it.
- raxxorraxor 2y agoNo, it would mean 13x times smaller models where training data is better curated. Ironically I think this is a step towards Clip again, which Google already improved with SigLIP but now returns to introduce a global or "batch" perspective. At least that is how I read it with my very amateur understanding.
- seeknotfind 2y agoHolding the model needs constant, but the real limit is $$$, so it'll mean more model for the same money.
- 343242dfsdf 2y ago>the data is the limit Most people don't know exactly how the dataset is "fed" to the training pipeline, but with the current state-of-the-art you can say the feeding is like when a human reads aloud a text, not re-reading ever, not a single word. And then you're asked about what words you've read most often, their order and how many times they appeared in the text. Then, with those numbers you just gave, some probabilities are calculated and anotated, and there you get a "token". There are obvious improvements plausible to be applied to that basic processing, and most are being applied already, but there's plenty of room for evern further improvement apparently. Claude says that the previous text could be described like "a simplified metaphor of model training", so you're warned about simplicity.