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| Platform | Pricing | Freemium | Publishes | Twice weekly | |
|---|---|---|---|---|---|
| Issues | 10 | Subscribers | Read | truetheta.substack.com |
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In Part 1, we explored the challenges of model degradation, including how it often goes unnoticed and why teams hesitate to retrain due to factors like shifting priorities. In Part 2, we discussed reframing the retraining decision as a prac...
In Part 1, we laid out the problem: models degrade silently, teams delay retraining, and the standard "monitor for drift" approach falls short as a decision policy. Here in Part 2, we'll reframe that question as a counterfactual comparison ...
Machine-learning models are trained on a fixed slice of history and don’t age like fine wine. The world shifts under their feet. Performance usually decays quietly, and in many organizations it’s not noticed until it’s expensive. Leadership...
AI has transitioned from a research-heavy phase of model training to the practical challenges of inference—deploying trained models to serve predictions. Today, inference underpins everything from conversational agents and recommendation sy...
The writers behind this newsletter.
I help companies build machine learning models.
I write about public technology spending, machine learning infrastructure, and enterprise AI adoption
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