Scaling Machine Learning
Oriol discusses the challenges and excitement surrounding the scale of machine learning, particularly in relation to transformers. He reflects on how research standards have evolved, emphasizing the importance of scale in shaping what is considered valuable or interesting in the field. The upcoming panel will delve into these themes, exploring how the demand for scale influences research expectations and outcomes.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Deep Learning, Transformers, and the Consequences of Scale with Oriol Vinyals - #546
Related Questions
Why is scaling impact important in the episode Oriol Vinyals: Deep Learning and Artificial General Intelligence | Lex Fridman Podcast #306 and the clip Innovation Through Constraints?
Why is scaling impact important in the episode Oriol Vinyals: Deep Learning and Artificial General Intelligence | Lex Fridman Podcast #306 and the clip Innovation Through Constraints?
Why is scaling impact important in the episode Oriol Vinyals: Deep Learning and Artificial General Intelligence | Lex Fridman Podcast #306 and the clip Scaling Deep Learning?