As a user of local models, does this mean that there are 'magic incantations' that can increase the performance of some local models?
I see some details about recovering information via whatever technique. It's interesting, but appears not generalized.
So for a specific question, yes, but this is not about techniques like adding a good embedding that just generally tends to improve open model performance on certain tasks.
There is some research suggesting that a prefix from a stronger model will tend to elicit better completions from a smaller one. I am doing some experiments to see if I can replicate this in a practically useful way, e.g. Fable + 4B Qwen, or 125B Qwen Flash Next + 4B Qwen, results TBD.
I don't think that follows from the published results. Would have been an interesting hypothesis to add though, and quite easy. Just throw the same setup at some benchmarks.