AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
3min chapter
Scaling LLMs and Accelerating Adoption with Aidan Gomez at Cohere
Gradient Dissent: Conversations on AI
The Future of Language Models
The sequence length constraint could be problematic enough that it actually might push us off of transformers. That is like a scaling quadratically in the sequence length is a huge problem. I would think then that you would predict that the model performance will continue to scale consistently as compute is added basically forever. And how do you think about data constraints as the model complexity rose? Is data going to be the next constraint for building very large LLMs? Yeah, it already really is.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode