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BERT isn't a next token predictor. It predicts a single token based on the whole surrounding context in both directions.
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I mean sure, but BERT can be and often is used as a next token predictor / generator.

I could have used any series of NLP examples, the point is this CoT behavior only emerges when you get to a certain scale (and training style, presumably).




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