InstructGPT

product on 11 shows · 3 statements across 3 episodes · said 32 times in 23 episodes since 2023

Latent Space 13 No Priors 4 TBPN 3 the Y Combinator Startup Podcast 2 Lenny's Podcast 2 the Neon Show 2 20VC 2 We Live to Build 1 A Product Market Fit Show 1 Sourcery 1 the MAD Podcast 1

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Latent Space 13No Priors 4TBPN 3the Y Combinator Startup Podcast 2Lenny's Podcast 220VC 2the Neon Show 2We Live to Build 13 more shows

2026 5 mentions in 4 episodes 1 per episode
2025 13 mentions in 10 episodes 1 per episode
2024 8 mentions in 4 episodes 2 per episode
2023 6 mentions in 5 episodes 1 per episode

every mention on every show, scene by scene, with the transcript →

3 statements about InstructGPT, every show

Lambert: RLHF Performance Depends on Data and Systems Over RL Details
“It really ends up being kind of, like, gibberish that I think is less important now, because it's more about data and infrastructure than RL details, than, like, value functions and everything. A lot of the papers have different terms in the equations. I think…”
Nathan Lambert Jan 11, 2024 ▶ 57:58 The Origin and Future of RLHF: the secret ingredient for ChatGPT - with Nathan Lambert
LATENT SPACE Assertion Partly supported
Royzen: BigScience's T-Zero predated InstructGPT in large-scale instruction tuning
“I think T-Zero is the first model that did large-scale instruction tuning from diverse data sources in the fall of twenty-twenty-one. This is before InstructGPT. This is before Flan T-Five, which came out in twenty-twenty-two. This is, I think, the very, very …”
Michael Royzen Nov 3, 2023 ▶ 14:42 Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
Y COMBINATOR Assertion Supported
Habib: OpenAI's 1.3B InstructGPT beat the 100x larger GPT-3 via RLHF
“In the InstructGPT paper that OpenAI released, they compared, you know, a one or two billion parameter model with instruction tuning and RHF to the full GPT-III model and people preferred that despite the fact it was a hundred times smaller.”
Raza Habib Feb 28, 2023 ▶ 5:54 The REAL potential of generative AI · Y Combinator

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