Videos and Slides for the Second Ray Summit Connect, June 17, 2020
The videos and slides are now available for the second Ray Summit Connect, June 17, 2020
For your convenience, there are separate videos for each talk and for the Q&A and panel discussion at the end.
Distributed Hyperparameter Tuning, Richard Liaw (Anyscale): video, slides.
Geometry-Aware Gradient Algorithms for Neural Architecture Search, Liam Li (Determined AI): video, slides.
Trading off Model Size and Accuracy for BERT with Ray and SigOpt, Meghana Ravikumar (SigOpt): video, slides.
Q&A and panel discussion with Richard Liaw, Liam Li, and Meghana Ravikumar, moderated by Dean Wampler: video.
For the next events, please visit anyscale.com/events. In particular, the second live tutorial for the new Anyscale Academy and the next Ray Summit Connect:
Anyscale Academy: Reinforcement Learning with Ray RLlib
Ray Summit Connect: Practical Reinforcement Learning
Next steps
Anyscale's Platform in your Cloud
Get started today with Anyscale's self-service AI/ML platform:
- Powerful, unified platform for all your AI jobs from training to inference and fine-tuning
- Powered by Ray. Built by the Ray creators. Ray is the high-performance technology behind many of the most sophisticated AI projects in the world (OpenAI, Uber, Netflix, Spotify)
- AI App building and experimentation without the Infra and Ops headaches
- Multi-cloud and on-prem hybrid support
