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The Power of Generalization and Transfer in Language Models
Language models can mimic human affordances, enabling them to be sample efficient by generalizing from experiences and training on how to navigate various scenarios. The acceptance of this kind of generalization and transfer is seen in the strong performance of models in different languages post-training. For instance, fine-tuning a model on English data can lead to it performing well in other languages like Spanish, often responding accurately to queries in the respective languages.