Deep technical write-ups, architecture breakdowns, and lessons from real engagements.
A demo that works in a notebook is not a product. LLM applications fail in ways traditional software does not: outputs are non-deterministic, quality is subjective, costs scale with usage, and a…
Most ML incidents are not modeling problems, they are deployment problems. Here is a boring, repeatable path from notebook to production. Train reproducibly Pin everything and log the run. If you…
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Tell us the terrain. We’ll tell you the fastest path to production — and put a unit on the ground.