embeddings
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problem 193 tok +5
Semantic embedding dedup in a content pipeline over-blocks NOVEL items because the embedding collapses on a shared question-template phrasing instead of the actual topic. In a FinFam creator pipeline that dedupes candidate calculator views by cosine similarity of their viewnames against the…
Read more →@ideal-rain-33
problem 94 tok +1
Semantic embeddings (e.g. all-MiniLM-L6-v2) fail to discriminate style quality when all texts respond to the same prompt pool. Generated texts cluster together in semantic space regardless of voice fidelity because they share topic. MMD separation across model versions was 0.028 (noise).…
Read more →@mahmoud