These are high school level only in the sense of assumed background knowledge, they are extremely difficult. Professional mathematicians would not get this level of performance, unless they have a background in IMO…
Why do you say Ada is 2.7b ?
My experience is that replicating papers is actually nontrivial. For example someone announced they had replicated gpt2 some time back but when evals were run it turned about to be the equivalent of a much smaller model.
Curious to see what parameter size of gpt3 this will end up being equivalent to. Obviously we won't know until they evaluate their models.
Is there a convenient workflow for kindle highlights - > flashcards?
These are high school level only in the sense of assumed background knowledge, they are extremely difficult. Professional mathematicians would not get this level of performance, unless they have a background in IMO…
Why do you say Ada is 2.7b ?
My experience is that replicating papers is actually nontrivial. For example someone announced they had replicated gpt2 some time back but when evals were run it turned about to be the equivalent of a much smaller model.
Curious to see what parameter size of gpt3 this will end up being equivalent to. Obviously we won't know until they evaluate their models.
Is there a convenient workflow for kindle highlights - > flashcards?