I'm a bit embarrassed to admit, but I still don't understand decoder vs encoder vs decoder/encoder models.
Is the input/output of these models any different? Are they all just "text context goes in, scores for all tokens in the vocabulary come out" ? Is the difference only in how they achieve this output?
Is the input/output of these models any different? Are they all just "text context goes in, scores for all tokens in the vocabulary come out" ? Is the difference only in how they achieve this output?