Reinforcement Learning Challenges
Robert discusses the challenges of reinforcement learning applications and the need for specialized systems due to the combination of various computational patterns. He explains why building new frameworks is necessary for scaling up applications, highlighting the complexities of training, inference, and serving components in real-world scenarios.In this clip
From this podcast
Gradient Dissent - A Machine Learning Podcast
Robert Nishihara — The State of Distributed Computing in ML
Related Questions