Robert Nishihara — The State of Distributed Computing in ML
Published:Mar 23, 2022 15:15
•1 min read
•Weights & Biases
Analysis
The article focuses on Robert Nishihara's journey and the development of Ray, an open-source tool. It highlights the shift from reinforcement learning research to creating tools for machine learning and distributed computing. The content is concise, providing a brief overview of the subject.
Key Takeaways
- •Focus on Robert Nishihara's career trajectory.
- •Highlights the development of Ray.
- •Emphasizes the shift towards open-source tools for ML and distributed computing.
Reference
“The story of Ray and what lead Robert to go from reinforcement learning researcher to creating open-source tools for machine learning and beyond.”