T5
product on 5 shows · 3 statements across 3 episodes · said 41 times in 17 episodes since 2023
Latent Space 31 
the MAD Podcast 4 
the a16z Podcast 3 
No Priors 2 
20VC 1
Mentions by year, every show
tap a year for its mentions
Latent Space 31the MAD Podcast 4the a16z Podcast 3No Priors 220VC 1
2026 6 mentions in 2 episodes 3 per episode
2025 7 mentions in 4 episodes 2 per episode
2024 24 mentions in 8 episodes 3 per episode
- The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
- A Comprehensive Overview of Large Language Models - Latent Space Paper Club
- From Tiny Romanian Startup to Global AI Automation Leader | Daniel Dines, CEO of UIPath
- Supervise the Process of AI Research — with Jungwon Byun and Andreas Stuhlmüller of Elicit
- [Paper Club] BERT: Bidirectional Encoder Representations from Transformers
- [Paper Club] Upcycling Large Language Models into Mixture of Experts
- Answer.ai & AI Magic with Jeremy Howard
- Breaking down the OG GPT Paper by Alec Radford
- every mention in 2024, scene by scene →
every mention on every show, scene by scene, with the transcript →
3 statements about T5, every show
UiPath's DocPath and ComPath AI models are T5-based LLMs trained on company data
“Yes, they are yes, this is what I refer to. They are these T-five based LLMs, but trained with a lot of A lot of the data that we gather.”
Stuhlmüller: Elicit continues to use T5-based models
“We do also use, like, T-Five-based models, even, even now but started, yeah, started with GPT-II.”
Royzen: NVIDIA Built Custom FasterTransformer Feature for Phind
“They actually implemented a custom feature for us in Faster Transformer which is one of their libraries... They implemented streaming generation for T-Five-based models, which we were running at the time up until we switched to GPT in In February, March of thi…”