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They are only probabilities if you treat them as such. If you always just pick the highest probability option (temperature = 0), it's not random in any way - th
by Timon3 3y ago
They are only probabilities if you treat them as such. If you always just pick the highest probability option (temperature = 0), it's not random in any way - then it's just a confidence value.
You can use randomness, but it's in no way inherent to the process.
- Karellen 3y ago> If you always just pick the highest probability option (temperature = 0), it's not random in any way Huh. That feels like a recipe for either outputting parts of the training data verbatim, or getting stuck in an output loop. Although I earlier gave an example with 90/9/1 weights where the obvious choice is significantly higher than the others, I'd have thought that in a different scenario where you have, say, 51/49 or 34/33/32 options to choose from, always picking the one with only a fractionally higher confidence than the reasonable alternatives could lead to a "sameyness" in the outputs. Isn't there any value in having variance in the generated responses?
- Timon3 3y ago> Isn't there any value in having variance in the generated responses? Sure, which is why the technique is used. But that doesn't mean "random" is a useful descriptor. I, as a human, try to add variance to my responses as well - does that mean my mind is "random"? That's why my point is that there is no inherent randomness in the process. We use a bit of randomness to make it subjectively better, but it's fundamentally not random.