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
Hands-on interactive exercise
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