TokenFormer's approach is modular. Parameters can be added incrementally, akin to inserting rows in a database. This modularity could redefine fine-tuning practices across AI architectures.
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TokenFormer's approach is modular. Parameters can be added incrementally, akin to inserting rows in a database. This modularity could redefine fine-tuning practices across AI architectures.