It’s in sciences and engineering, where users might be expected to understand what a base LLM is and how they’re used, where having faithful representation of the dataset is most valuable. It’s wider audiences that need more guardrails.
Faithful dataset representation most valuable in science/engineering, wider audiences need guardrails.
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