The study successfully generated 500k synthetic data examples across 93 languages using Azure OpenAI Service, demonstrating advancements in multilingual retrieval and data efficiency.
Although some outputs from GPT-35-Turbo deviated from prompt guidelines, the overall quality was deemed acceptable, indicating the potential effectiveness of synthetic data in model training.
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