Understanding Vector Embeddings
Vector embeddings are how AI models represent words and concepts as numbers. Let's explore different patterns that emerge in this mathematical space.
Vector embeddings are how AI models represent words and concepts as numbers. Let's explore different patterns that emerge in this mathematical space.
Explore how different types of relationships between words are captured in the embedding space.
Words with similar meanings cluster together in vector space. Notice how related concepts form distinct clusters, while opposites are positioned far apart.