A financial services company needs its gen AI assistant to consistently produce loan summaries in a highly specific internal format and tone that the base model struggles to replicate, even after extensive prompt engineering with detailed examples in every prompt. They have thousands of high-quality example summaries written by their analysts. Which technique will most reliably bake this behavior into the model so it no longer needs lengthy examples in each prompt?