LLMs Ride the Overconfidence Wave

Developers trying to fine-tune LLMs often encounter a plethora of issues. An experiment by Jonathan Whitaker and Jeremy Howard from fast.ai highlighted a rather unscrutinized problem with LLM models — overconfidence, which shouldn’t be confused with the widely discussed LLM hallucination. Overconfidence is when the model insists on certain information provided in the dataset even […]

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