What considerations should be taken into account when localizing LLMs for non-English languages?

Instruction: Discuss the challenges and strategies for adapting large language models to understand and generate text in languages other than English.

Context: This question assesses the candidate's awareness of the linguistic and cultural complexities involved in localizing LLMs, underlining the importance of diversity and inclusivity in AI.

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The way I'd think about it is this: Localization is more than translation. I would think about language coverage in training data, tokenizer quality, dialect variation, formality, cultural norms, safety behavior, and how evaluation needs to change for each target...

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