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Introducing Evolution Fine-Tuning
We're releasing Evolution Fine-Tuning, a new paper on what happens when evolutionary search and model training stop being separate steps. The solutions a scaffold discovers at test time become supervision for the model — which then drives a stronger search.
Here's the short version of the idea and where it leads. The full write-up, with motivation and method, lives on the blog.
The full story
Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks