March 14, 2024, 5 a.m. | Pragati Jhunjhunwala


Researchers from the Peking University and Alibaba Group introduced FastV to address the challenges caused by inefficient attention computation in Large Vision-Language Models (LVLMs). Existing models such as LLaVA-1.5 and Video-LLaVA have shown significant advancements in LVLMs but they struggle with the bottleneck in the attention mechanism, concerning the handling of visual tokens. The researchers […]

The post FastV: A Plug-and-Play Inference Acceleration AI Method for Large Vision Language Models Relying on Visual Tokens appeared first on MarkTechPost.

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