Turning text into numbers: embeddings and keyword extraction without secrets

A three-part series explains how to transform text into numeric representations (bag of words, embeddings) for AI processing.

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The fact

Vector embeddings capture semantics without revealing model secrets.

This foundation helps developers build robust search and recommendation systems.

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