Instruction: Discuss strategies for developing efficient NLP models when faced with limited linguistic data.
Context: Candidates must demonstrate their ability to innovate and adapt NLP techniques for scenarios where data is scarce, showcasing their problem-solving and resourcefulness.
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I would optimize for low-resource languages by focusing on data efficiency before model size. That means better curation, multilingual transfer, tokenizer quality, augmentation where appropriate, and tasks that align closely with the available...