(technicalwriting.dev)

484 points jxmorris12 | 1 comments | 12 May 25 15:05 UTC | HN request time: 0.875s | source

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jacobr1 ◴[12 May 25 15:36 UTC] No.43964219[source]▶

I may have missed it ... but were any direct applications to tech writers discussed in this article? Embeddings are fascinating and very important for things like LLMs or semantic search, but the author seems to imply more direct utility.

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1. podgietaru ◴[12 May 25 15:51 UTC] No.43964388[source]▶

>>43964219 #

I built an rss aggregator with semantic search using embeddings. The main usage was being able to categorise based on any randomly created category. So you could have arbitrary categories

https://github.com/aws-samples/rss-aggregator-using-cohere-e...

Unfortunately I no longer work at AWS so the infrastructure that was running it is down.

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Embeddings are underrated (2024)