Determines how much the model penalizes the repetition of words or phrases.
Penalizes the repetition of words based on their frequency in the generated text. A higher frequency penalty discourages the model from repeating words that have already appeared frequently in the output, promoting diversity and reducing repetition.
The maximum number of tokens to generate in the completion.
The seed to use for random sampling. If set, different calls will generate deterministic results.