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Thoughts on AI engineering
Notes on building production ML systems, architecture decisions, and lessons from the field.
ML Ops
Why Most AI Projects Fail (And It's Not the Model)
The dirty secret of AI in production: models are the easy part. Pipelines, monitoring, and operational discipline are what separate demos from products.
5 min read