[colechristensen]

Branching strategies, do 10 things in parallel and evaluate for the best at the end or something along the lines of an evolutionary algorithms. Turn up the temperature on an LLM and have a survival mechanism, and generate solutions to the same problem over and over.

[c7b]

Regarding the first, parallel requests to the same loaded model seem to work pretty well, I'm trying to find time to look more into it myself, but this may be something that might already be within reach for local models.

[colechristensen]

Sure, it's possible, but you'd start to use it much more and in more advanced ways. Like "thinking hard" would consist of spawning a dozen different inferences from the same cached point and then picking the best one.