Low-resource languages are difficult to train from scratch due to limited training data. In the attached poster, we show that using minimal data for pre-training and instruction tuning, we are able to achieve better accuracy than other open source #LLMs in the respective
Low-resource language LLMs trained with minimal data efficiently
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