Context is King: Expensive LLMs Often Overkill for Tasks Suited for Simple Classifiers
bigblueboo · x · 2026-07-26
The author highlighted a practical perspective on ML engineering, noting that for a vast number of use cases, a simple dot product logistic regression text classifier performs just as well as a 100-billion-parameter LLM.
They further emphasized that the hard, unsexy, yet most valuable part of machine learning remains getting the right data—or what we now call "context" for these expensive regression machines.
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