GPT-1, every mention
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tap a year for its mentions
every year anyone Sebastian Raschka 2Dan Roberts 1Clement Delangue 1
Verbatim, from the transcripts: the passages where GPT-1 comes up
OpenAI's Dan Roberts: Why AI Can Now Make Discoveries
- ▶ 39:33 Dan Roberts I wasn't at opening at the time, but if you imagine trying to like get small models to, to reason, you know, GPT one, GPT two, GPT three, and then GPT four to the again cartoon.
State of LLMs 2026: RLVR, GRPO, Inference Scaling — Sebastian Raschka
- ▶ 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.
- ▶ 56:57 Sebastian Raschka Because I mean, back then it was GPT one, GPT two, GPT three, and now it's GPT four, 4.14 point, I think two or five, five, five, one, five, two, and all the models, they are iterating now, or even the same with deep seek.
The $4.5B Platform Driving the Open Source AI Revolution | Clem Delangue, CEO, Hugging Face
- ▶ 3:47 Clement Delangue It was GPT, GPT-II, there was, there was BERT, there was ExcelNet, um, obviously Google, uh, kicked off this wave with attention is all you need, which is like the seminal paper for, for Transformers, which is the T in, in ChatGPT.