What are some interesting experiments I can run to understand embedding models beyond semantic search?
I've been reading about text embedding models and want to understand how they actually behave, rather than just using them through some API. some experiments I'm thinking to consider: testing whether embeddings understand synonyms better than related concepts. comparing cosine similarity for senten…
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Timeline · 2 reports
- 2026-10-11 03:08 · r/deeplearning
What are some interesting experiments I can run to understand embedding models beyond semantic search? - 2026-10-11 03:07 · r/learnmachinelearning
What are some interesting experiments I can run to understand embedding models beyond semantic search?