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Swapping an LLM classifier for a frozen random forest leaves symptom patching at 19 of 20
A dev.to write-up ran the same planted retrieval fault past forty agents, with a language model head in one arm and a distilled random forest in the other. Thirty-eight patched the symptom, nineteen per arm.
Publishers:dev.to
Reality
- Evidence58
- Adoption
- Insufficient
- Hype gap+10
- Incentives30
- Confidence55