Why kNN doesn't scale...

...And how Approximate Nearest Neighbors mitigates that.

k-Nearest Neighbours:

k-Nearest Neighbors (kNN) is a simple and intuitive algorithm used for classification and regression tasks. Given a new data point, the algorithm searches the training dataset for the 'k' training examples that are closest to the point and then returns the output based on these 'k' examples.

kNN is used in some of the modern AI solutions like LLMs. But one of the major issues with kNN is its scalability. There …

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