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In 2026, claiming an LLM is "accurate" is meaningless without context....

https://magic-wiki.win/index.php/How_Do_I_Calibrate_Abstention_So_the_Model_Refuses_Without_Annoying_Users%3F

In 2026, claiming an LLM is "accurate" is meaningless without context. Hallucination rates change drastically based on your test set. Models might pass general benchmarks but falter on HalluHard, which captures real-world reasoning gaps. With $67

Submitted on 2026-05-18 06:38:54

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