DeepSeek, every mention

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mentionsepisodesper episode tap a year for its mentions

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

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▶ 10:58 Benedict Evans But for the moment, you know, and this is, was kind of my point about Deep Seek. 3 times in the scene
▶ 11:08 Matt Turck Deep Seek or Deep Research?

▶ 0:50 Matt Turck In this episode, we dig into the dialogue engineering workflow Jeremy's team uses to code and build alongside models like Quen and DeepSeq, and discuss Jeremy's no mercy verdict on Devon and the coding agent hype.
▶ 3:33 Jeremy Howard When and deep seek, I guess we've decided we like them very much.
▶ 6:29 Matt Turck A few months into that big, you know, deep seek moment that some call the spotting moment for AI and all the things. 6 times in the scene
▶ 10:38 Jeremy Howard And companies like DeepSeq showing we really do have lots and lots of opportunity to bring costs down.
▶ 33:42 Jeremy Howard Um, like it helps, like, understand the details of the technology well, so I kind of, these things like DeepSea Car One or whatever don't seem, they don't come out of the blue, they don't seem like wild jumps or whatever, you know, I can,…

▶ 42:33 Matt Turck This year, we're in a deep seek kind of a, you know, kind of, kind of moment. 3 times in the scene

▶ 0:04 Matt Turck Today, my guest is Lin Shao, the CEO of Fireworks AI, an LLM inference platform that enables companies like Cursor, Uber, and DoorDash to build AI product experiences on top of hundreds of open source models like DeepSeek, Quen, Lama, and… 2 times in the scene
▶ 35:57 Lin Qiao Uh, so human in the loop, uh, that we have, uh, take DeepSeq for example. 4 times in the scene
▶ 44:06 Lin Qiao And deep seek model come in as a raw model. 2 times in the scene
▶ 44:09 Lin Qiao Um, and we add function calling to v three model and which
▶ 55:43 Lin Qiao And it's clear that Deep Seek has, has created a big dent there, but the meaning is not about Deep Seek itself by itself. 6 times in the scene

▶ 0:41 Matt Turck We started the conversation with Dao's thoughts on the latest AI model innovations, including GPT-Four .5, Sonnet-Four .7, and of course, DeepSeq.
▶ 2:57 Douwe Kiela For me, the most exciting thing by far is DeepSeek, where that really, I think, changed the narrative in the AI ecosystem around what's possible, and who actually is an incumbent, and what is the moat that some of these companies have.
▶ 7:23 Matt Turck So going back to, uh, DeepSeek that you mentioned, uh, a minute ago, what's sort of fascinating is that, uh, a couple of weeks ago, whenever DeepSeek came out, uh, it felt like a Sputnik moment. 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…
▶ 44:50 Douwe Kiela Yeah, I, I think synthetic data, um, I, so O-one, uh, and, and I guess sort of DeepSeq showed that synthetic data is actually pretty valuable, right?

▶ 9:32 Matt Turck Maybe in February or March you'll be running on top of a deep seek. 2 times in the scene

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