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#embeddings

High-dimensional vector space with glowing nearest neighbor connections amid clustered data points
AI Hardware

Vector Databases: The AI Search Saviors or Just Fancy Indexing Tricks?

Servers groaning under billions of embeddings. That's where vector databases swoop in—or do they? I've seen this rodeo before.

3 min read 4 days, 12 hours ago
Visual diagram of HNSW multi-layer graph for approximate vector nearest neighbor search
AI Business

HNSW: Math's Favorite Cheat Code for AI Vector Hunts

Picture this: your AI swears it found the perfect match. It's lying. And that's pure genius.

3 min read 2 weeks ago
Word2Vec learning dynamics: rank-incrementing steps in embedding space and weight matrix
AI Business

Word2Vec Cracked: It Learns PCA on a Clever Co-Occurrence Matrix

Word2Vec doesn't conjure magic vectors. It crunches co-occurrences into PCA eigenvectors, one rank at a time. This new theory finally explains the black box.

3 min read 2 weeks ago
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