Example: dental hygienist
Search results with tag "Language models are unsupervised multitask learners"
Language Models are Unsupervised Multitask Learners
d4mucfpksywv.cloudfront.netLanguage Models are Unsupervised Multitask Learners to infer and perform many different tasks on examples with this type of format. Language modeling is also able to, in principle, learn the tasks ofMcCann et al.(2018) without the need for explicit supervision of which symbols are the outputs to be pre-dicted.
Language Models are Unsupervised Multitask Learners
d4mucfpksywv.cloudfront.netThe capacity of the language model is essential to the success of zero-shot task transfer and in-creasing it improves performance in a log-linear fashion across tasks. Our largest model, GPT-2, is a 1.5B parameter Transformer that achieves state of the art results on 7 out of 8 tested lan-guage modeling datasets in a zero-shot setting