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Tell me about a product you built that used AI or large language models at scale to solve a customer problem.

Focus on detailing a specific product where you integrated AI or large language models, emphasizing the customer problem it addressed. Discuss the data challenges you encountered, including how you sourced, cleaned, and managed the data to ensure model effectiveness. Explain your rationale behind the model selection, including any trade-offs considered. Highlight your validation process, including metrics used for evaluation and how you determined the model's readiness for production. Finally, address strategies you would implement to handle gaps or asymmetries in the data distribution, showcasing your problem-solving skills and foresight in AI deployment.

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Practise this question under interview conditions. Answer it out loud against a timer with an AI interviewer that asks follow-ups, then review the scored report.

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