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Vector embeddings: Difference between revisions

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Upon examining each of the 5 components of the vectors, it's evident that kitty and puppy are much closer than puppy and orange (we don't even have to determine the distances). Similarly, fruit is significantly closer to orange and blueberry compared to the other words, making them the top results for the "fruit" search.
Upon examining each of the 5 components of the vectors, it's evident that kitty and puppy are much closer than puppy and orange (we don't even have to determine the distances). Similarly, fruit is significantly closer to orange and blueberry compared to the other words, making them the top results for the "fruit" search.
The true intrigue lies in the origin of these numbers, and this is where the remarkable advancements in contemporary deep learning have made a significant impact.


===More Than Just Words===
===More Than Just Words===
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