generative models are trained to generate outputs in response to an input, that closely resemble the training data. that’s literally all they do. if a base model was introducing “style” training (as we currently do it) wouldn’t even function. what you’re implying is mathematically intractable for generative models, and that’s fundamental to what they are and how they are made. the style stuff you’re referring to is a side effect of fine tuning and contexts of chatbots, it’s not a property of llms or generative models