Alternating updates of model weights and executable harnesses can reach accuracy on par with full fine‑tuning while consuming a fraction of the training compute. The WHALE recipe shows that interleaving a short weight‑update phase with a lightweight harness search yields agents whose performance...
Source: [Dev.to](https://dev.to/olaughter/joint-weight-harness-optimization-approaches-fine-tuned-model-performance-2dlk)