you can think of fine-tuning as rewiring where it matters/can be probed. a kind of exhaustive reorganisation of the latent model space given some seed statement

you can think of fine-tuning as rewiring where it matters/can be probed. a kind of exhaustive reorganisation of the latent model space given some seed statement like you describe might be possible with LLMs that are jointly trained as a knowledge graph.