AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
12min chapter
Accelerating drug discovery with AI: Insights from Isomorphic Labs
Gradient Dissent: Conversations on AI
Navigating Input Granularity in NLP and Biology Data
Exploring the shift towards lower granular input representations in NLP and biological data to accommodate larger data sizes, enabling scalable architectures and extracting high-level structures. Emphasis on the significance of minimal input structure and larger datasets for enhancing model capabilities in drug discovery and language processing. Discussing challenges of data representation, the need to incorporate priors, and the potential opportunities of leveraging large language models for cross-domain scientific applications.
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