I still don’t understand.
Comment on Ask ChatGPT to pick a number between 1 and 100
kciwsnurb@aussie.zone 7 months agoThe temperature scale, I think. You divide the logit output by the temperature before feeding it to the softmax function. Larger (resp. smaller) temperature results in a higher (resp. lower) entropy distribution.
lolola@lemmy.blahaj.zone 7 months ago
Midnitte@beehaw.org 7 months ago
More yellow more common, more blue less common
kciwsnurb@aussie.zone 7 months ago
Each row in the figure is a probability distribution over possible outputs (x-axis labels). The more yellow, the more likely (see the colour map on the right). With a small temperature (e.g., last row), all the probability mass is on 42. This is a low entropy distribution because if you sample from it you’ll constantly get 42, so no randomness whatsoever (think entropy as a measure of randomness/chaos). As temperature increases (rows closer to the first/topmost one), 42 is still the most likely output, but the probability mass gets dispersed to other possible outputs too (other outputs get a bit more yellow), resulting in higher entropy distributions. Sampling from such distribution gives you more random outputs (42 would still be frequent, but you’d get 37 or others too occasionally). Hopefully this is clearer.
Someone in another reply uses the word “creativity” to describe the effect of temperature scaling. The more commonly used term in the literature is “diversity”.
ArmoredThirteen@lemmy.ml 7 months ago
I don’t understand any of these words, I need to take a math class or something
humbletightband@lemmy.dbzer0.com 7 months ago
Higher temperature -> more chaotic output