模型

This article introduces Direct Preference Optimization (DPO) technology, which optimizes text generation by using rejection pairs from the model's own failures, significantly reducing text degradation rates. DPO is particularly effective in OCR tasks, as it can serve as a direct mitigation tool for specific failure modes without relying on subjective human judgments.

文章讨论了模型与Harness层的关系，但信息密度低，缺乏具体技术细节和深度分析。