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Computing cosine distances

To identify the most semantically similar texts, you need to apply a distance metric. A popular choice is the cosine distance.

In this exercise, you've been provided with four vectors: A, B, C, and D. It's your task to find out which vector is most similar to A using cosine distance.


Which vector is the most similar to A?

distance has already been imported from scipy.spatial.

This exercise is part of the course

Introduction to Embeddings with the OpenAI API

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