Example Concept: Temperature is a parameter that scales the logits (raw predictions) before applying the softmax function, affecting the randomness of the output. A higher temperature results in more randomness, while a lower temperature makes the output more deterministic. Top_p, or nucleus sampling, selects from the smallest possible set of words whose cumulative probability exceeds the threshold p, ensuring that only the most likely words are considered, which can lead to more coherent outputs.