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Should You Retrain That Model? (Part 3)
Best Practices for Efficient and Reliable Retraining
Aug 29
•
Howe Wang
and
DJ
3
2
Should You Retrain That Model? (Part 2)
How to Think About Retraining
Aug 18
•
Howe Wang
and
DJ
1
Should You Retrain That Model? (Part 1)
Why models rot, why teams postpone, and why “just monitor for drift” fails
Aug 13
•
Howe Wang
and
DJ
5
3
May 2025
AI Inference Platforms: A Practical Guide
The Hidden Economics of AI Inference: What Every Startup and Enterprise Needs to Know
May 19
•
Howe Wang
and
DJ
1
Nebius User Experience: A Field Report
What AI/ML Teams Value—and What Needs Improvement—When Running Real-World Workloads on Nebius
May 4
•
Howe Wang
and
DJ
4
April 2025
TrueSkill Part 2: Who is the GOAT?
Applying TrueSkill Through Time to Settle the Debate in Tennis, Boxing, and Warcraft 3
Apr 29
•
DJ
and
Howe Wang
CoreWeave: A Practitioner’s Field Report
What AI/ML teams love—and struggle with—when running production workloads on CoreWeave
Apr 25
•
Howe Wang
and
DJ
1
Levi's: A Corporate Algorithm Case Study
Inside Levi Strauss & Co.’s journey from manual forecasting to algorithm-driven growth
Apr 22
•
Howe Wang
and
DJ
TrueSkill Part 1: The Algorithm
A walkthrough of the classic, effective and beautiful TrueSkill algorithm.
Apr 17
•
DJ
and
Howe Wang
3
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