DeepSeek-V3, every mention

mentionsepisodesper episode tap a year for its mentions

Verbatim, from the transcripts: the passages where DeepSeek-V3 comes up

loading…

▶ 2:55 Sebastian Raschka Take a GPT one or two model and with a few, I mean, few lines of code almost, you can transform it into the latest, uh, let's say deep seek version, 3.2 architecture.
▶ 15:31 Sebastian Raschka I would say deep seek kind of like restarted that trend in 2024 in December with deep seek version three, they had an OE model before, but I think this is like the one that everyone looked at because that made such a big splash that people… 2 times in the scene
▶ 19:55 Sebastian Raschka So RLVR was kind of like popularized by deep seek R one, which was based on deep seek version three. 2 times in the scene
▶ 31:06 Sebastian Raschka Because if you also look at the numbers of how much it costs, uh, just GPU hours deep seek version three, they had like a five million dollar price tag on that given the, I think two dollars per GPU, they assume whether that's a correct…
▶ 37:29 Sebastian Raschka I mean, if you look at a version three and then R one, and then they had version 3.2 model with the sparse attention mechanism, and then also this math version two with a self refinement and everything.
▶ 52:55 Sebastian Raschka Maybe, you know, with DeepSeq version three, not so much, but that's almost like a different community, like the Tinkerer community, like me, like small system, uh, 2 times in the scene

▶ 8:51 Douwe Kiela It's, it's like when you have a bunch of GPUs and you know how to train a language model, uh, and, and if you can train up a pretty good base model, so that's their deep seek V three, then you can give that reasoning capabilities…

Turn any episode into a week of clips.