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Retrieval & EmbeddingsHard· Data Privacy· Evaluation· Resource Allocation
Legal requires native-speaker review for generated data...
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See plansSpreading 2,000 items across 12 languages results in a dataset too small for effective training. By allocating 8 items per language as seeds and the rest as test sets, you create a robust evaluation framework. This allows you to calculate standard errors and resolve recall gaps, providing a clear deliverable that informs legal and the engineering team about the reliability of the system.