About this document
Self-Play Fine-Tuning for LLMs by John Rawai is a document available to read on EtoBox.
The paper introduces a novel fine-tuning method called Self-Play fIne-tuNing (SPIN) that enhances weak language models into strong ones without requiring additional human-annotated data. SPIN utilizes a self-play mechanism where the model generates its own training data from previous iterations, allowing it to refine its capabilities by distinguishing its responses from human-generated ones. Experimental results demonstrate that SPIN significantly improves model performance across various benchmarks, achiev
- Author
- John Rawai
- Language
- EN