GPT-3.5, every mention
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every year anyone Aravind Srinivas 6Matt Turck 3Shreya Rajpal 2Ryan Greenblatt 2Tristan Handy 1Munjal Shah 1Milos Rusic 1Mike Knoop 1Des Traynor 1Arvind Jain 1
Verbatim, from the transcripts: the passages where GPT-3.5 comes up
AI Could Take Over in 2029. Is It Already Too Late?
- ▶ 22:35 Ryan Greenblatt And, you know, sort of the field has really evolved a lot since then, because, you know, five years ago, it was like, GPD, 3.5 hasn't, it wasn't released yet. 2 times in the scene
Glean’s Breakthrough: CEO Arvind Jain on Scaling AI Agents & Search
- ▶ 25:06 Arvind Jain So by, by, to the GPT, uh, three, uh, GPT, three, 3.5, um, we were seeing this amazing ability for, uh, for these models to actually generate their own answers to questions that people have.
Chasing Real AGI: Inside ARC Prize 2025 with Chollet & Knoop
- ▶ 33:17 Mike Knoop And, um, this was sort of like the same consistent feedback, even as the models, uh, were getting better, you know, from GPT three to three and a half to four to four.
How Intercom transitioned to being AI-first | Des Traynor, Co-Founder of Intercom
- ▶ 18:04 Matt Turck So quickly and impressively, uh, was that it was built on top of, um, OpenAI, I believe, uh, 3.5 GPT Turbo at the time, which leads us into the, you know, everyone's favorite conversation around, um, thin wrappers and, and all the things. 2 times in the scene
- ▶ 28:07 Des Traynor So we, you know, the things we care about are, uh, first of all, we, you know, we wouldn't go through the same reason we won't go with three, five.
Future of The Modern Analytics Stack | Tristan Handy, CEO of dbt
- ▶ 26:35 Tristan Handy Even dbt code written in the world where just your standard foundation model will, will do this stuff pretty well, which will be interesting for us to figure out, like, can we over time scale this stuff with lower cost, whatever, like the…
How to Ship Reliable GenAI Apps: Humanloop CEO on LLM Observability, RAG & Rapid Iteration
- ▶ 17:39 unnamed speaker That might be fine tuning GPT, 3.5 turbo.
Perplexity AI CEO on Dethroning Google & Redefining Search
- ▶ 6:07 Aravind Srinivas GPT 3.5 was being developed and, and, and, uh, GPT four was not even there. 2 times in the scene
- ▶ 26:18 Aravind Srinivas Especially for people who want, like, smaller models that run even faster than GPT-Turbo, um, and you want to save costs, you can come use our, our APIs. 2 times in the scene
- ▶ 28:07 Aravind Srinivas Like what is people's incentive to come and use these models in, in a world where GPT 3.5 turbo and GPT four already exist. 2 times in the scene
Secure, Private, Powerful: Dust’s Vision for Enterprise AI Agents | Stanislas Polu
- ▶ 38:08 Matt Turck You have, uh, GPT, uh, turbo, uh, cloud instance, uh, and you can have custom models.
Guardrails AI: The Playbook for Safer, Hallucination-Free LLMs — Shreya Rajpal Explains
- ▶ 22:35 Shreya Rajpal With GPD, 3.5, if I remember correctly, again, I'm kind of getting this off the top of my head. 2 times in the scene
From NLP Start-Up to Generative-AI Platform: Milos Rusic (deepset) Unpacks Product-Market Fit
- ▶ 17:12 Milos Rusic Is it GPT, 3.5, or is it, um, is it, uh, is it, I don't know, uh, one of the T five models from, um, from the hugging face model hub.
Hippocratic AI’s Munjal Shah: Building the First Safety-First LLM for Healthcare
- ▶ 32:38 Munjal Shah You know, it is encouraging that GPT-IV was able to get a lower hallucination rate, even while the model got bigger than, than three and a half.