In the Model properties dioalogue several advanced properties of an OpenAI model can be set:
Model (display only):
- The name of the referenced OpenAI Model. Note, that with every training this name changes
Model is tunable / Model is tuned (display only):
- general capabilities of the underlying Model. Note that only selected OpenAI Models can be tuned (the model is selected when adding an OpenAI language-resource)
Use default system-message when translating:
- defines, if the default system-message of a training (the topmost message in the training-window) is used when pretranslating with the model
Use user defined system-messages when translating:
- defines, if the other user-defined system-messages of a training are used when pretranslating with the model
Generation Sensitivity / Temperature:
- Temperature is a parameter that governs the randomness and thus the creativity of the responses. It is always a number between 0 and 1. A temperature of 0 means the responses will be very straightforward, almost deterministic (meaning you almost always get the same response to a given prompt) A temperature of 1 means the responses can vary wildly.
Probability Threshold / Top P:
Presence Penalty:
Frequency Penalty:
Max. target tokens (% of source tokens):