COS Labs · 07

Semantic Compression

Embedding · MRL / VQ / PQ

The ‘meaning’ AI understands — kept intact, made 8× lighter

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In plain wordsA vacuum pack that shrinks the volume, not the contents

What AI understands from a sentence or image (an embedding) is heavy data — hundreds of numbers. We compress that meaning to 1/8 its size while keeping it nearly intact, making search and recommendation faster and cheaper.

How it fits COS. This area feeds CreamVision, the future engine of COS. On top of the flow built from execution, knowledge, and development, it prepares the next user experience ahead of time.