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Published · transcript-backed

Quentin Anthony: belief

16 Aug 2023 Latent Space The Mathematics of Training LLMs — with Quentin Anthony of Eleuther AI

“Other than that, I think there was like a doc from Microsoft on like their Turing NLG.”

— Quentin Anthony

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Everything needed to verify it.

Speaker
Quentin Anthony
Attribution
Verified speaker
Claim type
belief
Recorded
16 Aug 2023
Publisher
Latent Space

Transcript context

…Yeah, this is a level of openness that basically very few people actually embrace. One, it's an extra effort to write things down, of course, but two, it is secret sauce and so that not many people do it. And therefore, oftentimes the only way to learn this stuff is to actually work in one of the large model labs. And so you guys are doing a lot. The only other instance where I can think of where people actually open sourced their process was Facebook's OPT. What else is similar, like sort of trade knowledge, but not formal research knowledge? I would say Bloom. So the Hugging Face Bloom project in big science and all of that, that was very open. I'd say it's the same caliber, if not more detailed than OPT. Other than that, I think there was like a doc from Microsoft on like their Turing NLG. Their paper is pretty relaxed in that it did talk about some of those challenges. Other than like OPT and Bloom and us, I can't think of any. It's a new thing. It matters that you are going for the sort of good enough rules of thumb, because I think a lot of people try to go for precision and being overly precise actually is not helpful. Right. Yes.…

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