Equation 7 · Adapters, Native Pretraining, and Unified Tokens: The Main Multimodal Architectures, Compared
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All of here is shared and randomly initialised at t=0 , and no term is held fixed while another is optimised. That is the formal content of “native”: contrast it with the modular recipe, where the vision and language terms are each minimised separately, over separate data, to convergence, long before the two are ever combined.
Sources cited in the article section
- [4] Gemini: A Family of Highly Capable Multimodal Models ↗
- [5] Language Is Not All You Need: Aligning Perception with Language Models ↗
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