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May 08, 2024
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Zürich
Semanticards
Learn how an 80 MB sentence transformer model, embeddings, vector similarity, and user feedback generate semantically accurate flashcard answers for efficient exam study.
Overview
A hobby project that uses embeddings, vector similarity and user feedback to span a space of semantically correct answers for flashcards.
Tech stack