Optimizing for efficiency with IBM’s Granite

0 Ratings
0
Episode
308 of 318
Duration
43min
Language
English
Format
Category
Non-fiction

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:

IBM GraniteIBM Granite on Hugging FaceIBM Expands Granite Model Family with New Multi-Modal and Reasoning AI Built for the Enterprise


Listen and read

Step into an infinite world of stories

  • Read and listen as much as you want
  • Over 1 million titles
  • Exclusive titles + Storytel Originals
  • 14 days free trial, then €9.99/month
  • Easy to cancel anytime
Try for free
Details page - Device banner - 894x1036

Other podcasts you might like ...