POMA AI Achieves Best-in-Class RAG Chunking and Document Ingestion With 77% Token Reduction vs. Conventional Models

Out of the box,POMA PrimeCut uses 77% fewer tokens than conventional models. The figure rises to 83% when used in customized ...
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KIOXIA achieves 4.8 billion vector search on a single AI server with minimal DRAM

KIOXIA achieves 4.8 billion high-dimensional vector search database on a single server, with a significant reduction in index build time.
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DoorDash Builds DashCLIP to Align Images, Text, and Queries for Semantic Search Using 32M Labels

DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared ...
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