别分类，直接「幻觉」：向量匹配为旧博客自动打标签 Don't Classify. Hallucinate! Vector Matching for Auto-Tagging Old Posts

精读摘要

Simon Willison 介绍了 Doug Turnbull 的一个巧妙方案：不必让模型从海量既有标签中做分类，而是让模型自由「想象」合适的标签，再用向量嵌入在现有标签库中找出最接近的真实标签。这为超大标签集的自动打标提供了新思路。 Simon Willison shares Doug Turnbull's clever approach to auto-tagging: instead of classifying against a huge existing vocabulary, let the model freely 'imagine' tags, then use vector embeddings to find the closest real tags in the corpus.