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  3. Introduction to Embeddings with the OpenAI API

Exercise

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.

Instructions

50 XP

Possible answers