For the Gates Demo in April 2019, OpenAl had already scaled up GPT-2 into something modestly larger. But Amodei wasn't interested in a modest expansion. If the goal was to increase OpenAI's lead time, GPT-3 needed to be as big as possible. Microsoft was about to deliver a new supercomputer to OpenAI as part of its investment, with ten thousand Nvidia V100s, what were then the world's most powerful GPUs for training deep learning models. (The V was for Italian chemist and physicist Alessandro Volta). Amodei wanted to use all of those chips, all at once, to create the new large language model.
Россиянам станет тяжелее снять наличные08:49
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there’s a lot of other things that i haven’t even touched on here, like the optimizations we compute ahead of time for specific patterns, how we detect match prefixes, the differences of UTF-16 and UTF-8 matching and unicode, what is the backwards compatibility story, how we can skip through text that others cannot. i haven’t even mentioned Hyperscan, which is a very interesting engine that is actually based on a completely different 1961 paper, and so on, there’s a lot to share so perhaps i will look into these topics in the future.
Алиса Дмитриева (Редактор отдела «Из жизни»)