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Training SLMs for low-resource Indic languages just got easier: a new synthetic dataset of children's stories offers a large, localized, and simple corpus.
By dynamically adjusting the candidate set size based on Shannon entropy, Top-b offers a more nuanced approach to decoding that balances exploration and exploitation, outperforming static truncation methods.