Large language models blend factual analysis with unverified assumptions in their responses, presenting both at equal confidence levels. This complicates developers' task of discerning accurate advice from speculative suggestions. Using the VDG protocol, however, forces the model to explicitly highlight unknowns and differentiate between supported facts and inferred assumptions, enhancing transparency and reliability.
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