The challenge doesn’t lie with ChatGPT itself, but rather with the formulation of your prompt. The greater the precision and level of detail in your prompt, the more optimal the resulting output will be. Does this imply that individuals should acquaint themselves with the art of constructing prompts before engaging with a Language Model? (In instances where a model generates pale responses due to the prompt, there’s a risk of attributing inaccuracies to the company and flagging the models as unreliable.)
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