告别AI“一本正经”!Midjourney联手NYU解锁创意文本新维度，多样性飙升23%!
Midjourney 和纽约大学的研究人员近日联手开发出一种创新方法，旨在显著提升语言模型生成创意文本的多样性，同时将质量损失控制在最低限度。这项发表在最新研究论文中的技术，核心在于将“偏差指标”引入人工智能的训练过程。其运作原理是通过量化每个生成的文本与针对同一提示创建的其他文本之间的差异。研究人员利用嵌入文本及其成对余弦距离来计算这些差异，从而为系统提供了一种理解文本变异性的数学框架。这种新的训练方法能够评估大型语言模型（LLM）响应之间的差异
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