HERMES is a novel training-free architecture designed for real-time and accurate understanding of streaming video inputs by Multimodal Large Language Models (MLLMs). It achieves high performance and low GPU memory overhead by efficiently reusing a compact KV cache.
HERMES is an innovative AI system that allows large language models to understand live video streams in real-time without needing to be retrained. It achieves this by smartly managing its memory, making it much faster and more efficient than previous methods, even with less data.
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