There are several ways to customize the responses generated by the ChatGPT API:
1. `temperature`: This setting allows you to adjust the randomness of the model’s responses. A higher value (close to 1.0) results in more random outputs. On the other hand, a lower value (close to 0) will yield a more deterministic or conservative output.
1. `max tokens`: This setting lets you limit the length of the response generated by the model. If you set it to 50, for instance, the model will return a shorter response.
1. `user messages`: You can format user messages in certain ways to guide the model. For example, you can specify a system-level instruction at the beginning of the conversation to set the behavior of the model (e.g., ‘You are an assistant that speaks like Shakespeare.’).
1. `message.role`: This role helps to specify who is generating the particular message, either ‘system’, ‘user’, or ‘assistant’.
1. `n` number of messages: To make a conversation feel more dynamic and interactive, you can feed a history of messages to the model.
1. `User-defined tokens`: Provide instructions in the user.query to get a specific type of response.
