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A Generative AI Engineer is developing a fraud detection system for an e-commerce platform. The system uses an LLM to flag suspicious transactions based on textual descriptions, customer history, and transaction metadata. The engineer wants to track multiple model experiments, record performance metrics, and ensure the selected model can be easily deployed for production. Which approach should they use?