Parameters in Playground 4: top p

Top p sampling (sometimes called nucleus sampling) is a technique used to sample possible outcomes of the model.
Top P controls how many random results the model should consider for completion, as suggested by the temperature dial, thus determining the scope of randomness. Top P’s range is from 0 to 1. A lower value limits creativity, while a higher value expands its horizons.
Top p and temperature parameters both control the randomness of the model. OpenAI documentation recommends using either one parameter or the other and setting the unused parameter to the neutral case, i.e. 1.0.

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