How CPU-based embedding, unified memory, and local retrieval workflows come together to enable responsive, private RAG ...
TMMA: A Tiled Matrix Multiplication Accelerator for Self-Attention Projections in Transformer Models
This project is an active research effort, and the implementation is currently under development. We plan to open-source the full code once our research paper is published. Some components may be ...
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