US EditionScaling Laws for Native Multimodal Models – Hoffeldt
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Scaling Laws for Native Multimodal Models – Hoffeldt
Apple Machine Learning Research Building general-purpose models that can effectively perceive the world through multimodal signals has been a long-standing goal. Current approaches involve integrating separately pre-trained components, such as connecting vision encoders to LLMs and continuing multimodal training. While such approaches exhibit remarkable sample efficiency, it remains an open question whether such late-fusion architectures are in…
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