Optimizing for efficiency with IBM’s Granite
Update: 2025-03-14
Description
We often judge AI models by leaderboard scores, but what if efficiency matters more? Kate Soule from IBM joins us to discuss how Granite AI is rethinking AI at the edge—breaking tasks into smaller, efficient components and co-designing models with hardware. She also shares why AI should prioritize efficiency frontiers over incremental benchmark gains and how seamless model routing can optimize performance.
Featuring:
- Kate Soule – LinkedIn
- Chris Benson – Website, GitHub, LinkedIn, X
- Daniel Whitenack – Website, GitHub, X
Links:
Comments
In Channel
Download from Google Play
Download from App Store
United States00:00
00:00
x
