Temperature
Scaling the logits to make sampling more or less random.
Überblick
Temperature divides the logits before the softmax, so a low value sharpens the distribution toward the most likely token and a high value flattens it. It solves the problem that a model's raw distribution is often too peaked for open-ended text and too flat for factual answers. It exists as the simplest control over the trade between coherence and variety.
Technologiegraph
Wie Temperature mit dem übrigen Stack zusammenhängt.