ML Model Management
Shreya discusses the challenges of managing machine learning models in production, emphasizing the complexity of maintaining model parameters and the need for effective data management systems. Daniel highlights the evolution of abstraction levels in ML tools, pointing out the struggle of engineers who must navigate disparate systems. Both stress the importance of simplifying these processes to foster accessibility and efficiency in the field.In this clip
From this podcast
The Gradient
Shreya Shankar: Machine Learning in the Real World
Related Questions