The method described keeps the model frozen and consults a text memory of successful and unsuccessful attempts. The report claims fine-tuning-level performance with 100 examples.
A method called Training-Free GRPO keeps the model frozen and uses a natural-language memory containing records of successful and unsuccessful rollouts. The report says the approach achieves fine-tuning-level performance with 100 examples; this is a claim in the source, not a guarantee for other settings.
The proposal may interest engineers seeking to reduce computational costs and avoid parameter updates during training. If you use AI to study or apply the idea, do not include confidential organizational data; use only authorized or anonymized examples. The method described is not a Rota Nacional feature.