miven

5 ms·

1. 31.▲
   by miven 3y ago

   Well, LLMs don't consistently beat purpose-trained BERT-type models just yet, for example in [1] the authors show RoBERTa (fine-tuned for each individual task separately of course) going basically toe-to-toe with GPT-4 on quite a few s
2. 32.▲
   by miven 3y ago

   Are there any risks I miss to asking a model (in a separate context as to not muddy the waters) to rewrite the informal prompt into something more proper and then use that as a prompt? Seems like a pretty simple task for an LLM as long as t
3. 33.▲
   by miven 3y ago

   Do you know whether LLMs grasp the equivalence of a word expressed as one whole-word token and as a series of single character tokens that spell out the same word? I'm curious if modifying the way some input words are split into token