JAX
3 statements across 3 episodes · 1 bullish · 1 bearish · 3 people on the record · first statement Oct 20, 2023 by Jeremy Howard · said 25 times in 11 episodes since 2023 · across every show →
Mentions by year
brought up most by Kevin Wang (4), Dylan Patel (4), Shawn Wang (3), Mark Huang (3), Jeremy Howard (3), Yi Tay (2), Nathan Lambert (2)
tap a year for its mentions
2026 2 mentions in 1 episode
2025 5 mentions in 2 episodes 3 per episode
2024 9 mentions in 5 episodes 2 per episode
- How to train a Million Context LLM — with Mark Huang of Gradient.ai
- The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
- The Origin and Future of RLHF: the secret ingredient for ChatGPT - with Nathan Lambert
- [LLM Paper Club] Llama 3.1 Paper: The Llama Family of Models
- A Comprehensive Overview of Large Language Models - Latent Space Paper Club
- every mention in 2024, scene by scene →
Everything said about JAX, oldest first
Oct 20, 2023 positive
Howard: JAX was a grassroots Google reaction against TensorFlow 2
“But I mean, in the meantime, I will say, you know, Google now does have a backup plan. You know, they have JAX, which was never a strategy. It was just a bunch of people who also recognized TensorFlow two as shit, and they just decided to build something else.”
May 31, 2024 negative
Jul 5, 2024 neutral
Yi Tay: AI researchers should stay framework-agnostic instead of mastering one stack
“I don't think there's any specific thing. In fact, I will try to be as, like, agnostic, like, I don't, like, I don't really say, like, okay, you need to learn JAX, you need to learn this, by the time you finish learning, there's a new framework out, anyway. So…”