3 ms·
I don't actually think there's any overhead necessarily involved, at least if you intend to fine-tune your model (which most LLMs do anyways). Getting a model t
by smoldesu 3y ago
I don't actually think there's any overhead necessarily involved, at least if you intend to fine-tune your model (which most LLMs do anyways). Getting a model to reject offensive input is probably just as easy as defining your failure-cases and finetuning it to say nothing.
- fragmede 3y agoNot necessarily, no, but the system takes the short prompt of "draw me a picture of a Nazi" which then gets fed to another model to add add flavor text, and then is fed to another model which decides to add that the Nazi should be black, in Gemini's case, before it gets fed to the image generator. That last step, to add that the Nazi should be black is overhead and waste.