The Smallest Loss Compute Can Buy

With Gaurav Sood, Chris Alexiuk The most expensive portion of model training today is GPU time. Given that, it is useful to ask what is the best way to spend the compute budget...
August 15, 2023 · Atul Dhingra

ML (O)Ops: What Data to Collect? (Part 3)

With Gaurav Sood The first part of the series, “Improving and Deploying On-Device Models With Confidence,” is posted here. The second part, “Keeping Track of Changes,” is posted here...
June 16, 2021 · Atul Dhingra

ML (O)Ops! Keeping Track of Changes (Part 2)

With Gaurav Sood The first part of the series, “Improving and Deploying On-Device Models With Confidence,” is posted here. Tracking Changes in ML Systems ML Engineers spend a lot of time keeping track of changes...
March 22, 2021 · Atul Dhingra

ML (O)Ops! Improving and Deploying On-Device Models With Confidence (Part 1)

With Gaurav Sood It is well known that ML Engineers today spend most of their time doing things that do not have a lot to do with machine learning. They spend time working on technically unsophisticated but important things like deployment of models, keeping track of experiments, etc...
February 21, 2021 · Atul Dhingra