Word Embeddings Explained | How AI Understands Meaning

How does AI understand the meaning of words?

This visual explains Word Embeddings — a powerful concept in NLP where words are represented as numerical vectors based on their properties and relationships.

🔹 Words are converted into vectors (numbers)
🔹 Each number represents a specific property (like “human”, “animal”, etc.)
🔹 Similar words share similar patterns

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