Parameters such as temperature, top-p, and top-k reshape or restrict the distribution before each draw. Different random draws can produce different completions from the same prompt.
Sampling selects output tokens probabilistically from a model's predicted distribution.
Parameters such as temperature, top-p, and top-k reshape or restrict the distribution before each draw. Different random draws can produce different completions from the same prompt.