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Language models are increasingly doing their real work in the "invisible" latent space, not the tokens we see.
A 0.7B parameter model, Falcon, rivals larger models on remote sensing tasks by using a novel instruction-tuning dataset, Falcon_SFT, proving that data quality can trump model size.