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Embeddings are underrated (2024)

(technicalwriting.dev)
484 points jxmorris12 | 1 comments | | HN request time: 0.353s | source
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nakedneuron ◴[] No.43968176[source]
Question for the experts: As embeddings in question reflect content is there another vector for style? I was wondering if stylometry research would profit from embeddings becoming more easily accessible than ever. I dug my head into this matter some time ago and believe this would be the right tool.
replies(2): >>43968366 #>>43968836 #
1. n3t ◴[] No.43968366[source]
If you have a dataset for which you know which elements have similar/same style, you can create your own embeddings for style.