An explanation of word embeddings—the technique that converts text into numerical vectors capturing semantic meaning. Learn how embeddings enable computers to understand that 'king' and 'queen' are related, how vector arithmetic can solve analogies, and why embeddings are fundamental to modern NLP. The video covers Word2Vec, the importance of context, and how embeddings power semantic search, recommendation systems, and RAG applications.

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