I would think about these soft tokens as more abstract conditioning. And then those hard tokens or instructions that you have as more like hard constraints on the model and what was in it next. We haven't had much time to do that study. But I think if we can see, okay, are there some clusters emerging over here to these vectors that we can anchor with specific tokens, or in language, or and if they are interpretable, I think that'll be amazing. Or if someone who's going to listen to this, if they want to do this, he could also. It is consistent with stuff that I've seen too, like just fine tuning as a retail customer of open AI

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