AI lab
Embedding space
Drop a query into a 2-D embedding space and rank its nearest neighbours by cosine similarity.
Words with similar meaning point in similar directions, so the top-k by cosine usually come from the cluster the query points into.
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The lesson this lab comes from, with the explanation, a practice task and a quiz.
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