AI RESEARCH
Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models
arXiv CS.AI
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ArXi:2604.21952v1 Announce Type: cross This work presents a multi-layered methodology for efficiently accelerating multimodal foundation models (MFMs). It combines hardware and software co-design of transformer blocks with an optimization pipeline that reduces computational and memory requirements. During model development, it employs performance enhancements through fine-tuning for domain-specific adaptation. Our methodology further incorporates hardware and software techniques for optimizing MFMs.