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Large language models (LLMs) trained on a substantial corpus of humanknowledge and literature productively work with a large array of facts fromthat corpus. Surprisingly, they are also able to re-create the behaviors ofpersonae that are captured within the corpus. By forming teams of simulatedpersonae, supplying contexts that set the stage, and providing gentle prompts,one can move through scenarios that elicit expert behavior to performmeaningful cognitive work. The power of this strategy is demonstrated with twoexamples, one attacking factuality of LLM responses and the other reproducing avery recently published result in quantum optics.

Guided scenarios with simulated expert personae: a remarkable strategy to perform cognitive work