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School of Computing
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SCALA achieves human-level sample efficiency by mimicking cognitive selectivity, allowing models to excel in visual recognition with minimal data.
Llamion proves you can transplant a model's brain (capabilities like long context and coding) into a new body (Llama architecture) with minimal training, opening the door to easier architecture upgrades and model merging.