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Thus, logprobs can provide far more insight whilst debugging a prompt than just consistently hitting ‘complete’ and obtaining disappointed. I never use logprobs substantially but I usually use them in 1 of three approaches: I use them to see if the prompt ‘looks weird’ to GPT-3 to see in which in a completion it ‘goes off the rails’ (suggesting the require for decrease temperatures/topp or bigger BO) and to peek at achievable completions to see how uncertain it is about the appropriate respond to-a fantastic case in point of that is Arram Sabeti’s uncertainty prompts investigation where by the logprobs of every single attainable completion gives you an concept of how well the uncertainty prompts are performing in having GPT-3 to set fat on the proper response, or in my parity examination where by I observed that the logprobs of vs one were being pretty much just 50:50 no matter how quite a few samples I extra, exhibiting no trace in any respect of number of-shot mastering going on. On our new weekly lightning spherical mini ep with Jonah Weiner, we’re fucking all over with Barstool Sports, Complex Media, Jimmy and Larry, Jerry Seinfeld, the United States Department of Defense, Jeff Bezos, gorp, Substack subscribers, Visvim, And Wander, celeb profiles and significantly a lot more. I have not been equipped to exam whether GPT-3 will rhyme fluently presented a good encoding I have tried out out a quantity of formatting procedures, applying the International Phonetic Alphabet to encode rhyme-pairs at the commencing or finish of traces, annotated inside traces, room-divided, and non-IPA-encoded, but whilst GPT-3 knows the IPA for extra English text than I would’ve expected, none of the encodings present a breakthrough in functionality like with arithmetic/anagrams/acrostics