You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: In the simplest form of distillation, knowledge is transferred to the distilled model by training it on a transfer setand using a soft target distribution for each case in the transfer set that is produced by using the cumbersome modelwith a high temperature in its softmax. The same high temperature is used when training the distilled model, but afterit has been trained it uses a temperature of 1. Neural networks typically produce class probabilities by using a “softmax” output layer that converts the logit, zi , computed for each class into a probability, qi , by comparing zi with the other logits. qi = exp(zi/T ) P j exp(zj/T ) (1) 2 where T is a temperature that is normally set to 1. Using a higher value for T produces a softer probability distribution over classes.

Question: What does "temperature" mean in context of the authors' proposed model?
Temperature is a value used in the softmax output layer. The softmax layer converts the logit computed for each class into a probability by comparing with other logits and increasing the temperature produces a softer probability distribution over classes. Specifically, in distillation, a high temperature is used in the cumbersome model to produce a soft target distribution for each case in the transfer set.