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In part 3, we explore how vector embeddings work under the hood, starting with Word2Vec, one of the first models to encode word meanings as vectors. In this section, we're going to go over: - How Word2Vec converts words into vectors using neural networks - Training on large text corpora to learn word associations - The skip-gram approach ...
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