Sebastian Raschka

speaker
1,024 appearances 1 recordings 1 series first heard Feb 2026 last heard 1 Feb

Sebastian Raschka’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months
1 · Feb OctJan 26AprJulnow

Recordings per month over the last 12 months — 1 in all, peaking in Feb 2026 with 1.

Appearances

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Let's throw in Mistral.ai.
Gemma?
Yeah, GPT-OSS, the open source model by JetGPT.
Actually, NVIDIA had a very cool one, Nymotron 3.
There's a lot of stuff, especially at the end of the year.
Quen, one may be the one.
So I would say the year is almost bookended by both DeepSeq version 3 and R1.
And then on the other hand, in December, DeepSeq version 3.2.
Because what I like about those is they always have an interesting architecture tweak that others don't have.
But otherwise, if you want to go with, you know, like the familiar but really good performance, QN3 and like Nathan said, also GPT-OSS.
And I think GPT-OSS, what's interesting about it is kind of like the first public or like open-weight model that was really trained with tool use in mind, which I do think is kind of a little bit of a paradigm shift where the ecosystem was not quite ready for it.
So with tool use, I mean that the LLM is able to do a web search to call a Python interpreter.
And I do think it's a standout because I think it's a huge unlock because one of the most common complaints about LLMs are, for example, hallucinations, right?
And so in my opinion, one of the best ways to solve hallucinations is to not try to always remember information or make things up.
For math, why not use a calculator app or Python?
If I asked the LLM who won the soccer world cup in 1998?
instead of just trying to memorize, it could go do a search.
I think mostly it's usually still a Google search.
So JGPD, GPT-OSS, they would do a tool call to Google, maybe find the FIFA website, find, okay, it was France.
It would get you that information reliably instead of just trying to memorize it.
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