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In the Model properties dialogue 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 some 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. Until this system-message will be editable, the following will be used:
    "You are a machine translation engine and translate single texts or multiple segments {fullFromTo}"
  • when this is de-selected, only the following system-message will be used when pretranslation with the model:
    "Translate the following segments encapsulated in JSON Objects with the index and the segment as properties {fullFromTo}  using all segments as context for each other"


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:


Probability Threshold / Top P:


Presence Penalty:

 
Frequency Penalty:


Max. target tokens (% of source tokens):

  • A GPT Model always has a maximum size of tokens that can be used within a single request. This amount calculates as the sum of the sent tokens and the returned tokens. For a (pre)translation, this is the system message and the text or batch to translate plus the returned translations. Therefore a ratio is needed to leave "room" in a sent request for the generated translation. This is only relevant for batch-translations as used when pretranslating


 



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