Guest on AWS Build on Generative AI: hyperparameter tuning at scale
About This Episode
I joined the Build on Generative AI series to discuss how to implement efficient hyperparameter tuning at scale on Amazon SageMaker.
Key Topics
- Hyperparameter Tuning at Scale — Learn how to leverage Amazon SageMaker to accelerate your ML experimentation.
- Warm Pools & Pipelines — Discover efficient strategies for resource optimization and rapid iteration.
Hosted by: Emily Webber and Darko Mesaroš
Learn More
Blog post: Read the detailed technical walkthrough on my blog.
Announcement: See the episode announcement on LinkedIn.
