Large models on CPUs (Practical AI #221)

Large models on CPUs (Practical AI #221)

0 Ratings
0
Episode
1692 of 2328
Duration
38min
Language
English
Format
Category
Non-fiction

Model sizes are crazy these days with billions and billions of parameters. As Mark Kurtz explains in this episode, this makes inference slow and expensive despite the fact that up to 90%+ of the parameters don't influence the outputs at all.

Mark helps us understand all of the practicalities and progress that is being made in model optimization and CPU inference, including the increasing opportunities to run LLMs and other Generative AI models on commodity hardware.


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
  • 7 days free trial, then €9.99/month
  • Easy to cancel anytime
Try for free
Details page - Device banner - 894x1036
Cover for Large models on CPUs (Practical AI #221)

Other podcasts you might like ...