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Generating Synthetic Datasets with AI
This chapter explores the challenges and strategies for creating synthetic datasets using AI models, advocating for a question generation approach based on existing answers. It highlights the importance of rigorous evaluation, minimizing non-determinism, and the concept of a data flywheel to continuously enhance AI capabilities. Practical tips for building AI products, particularly with large language models, are provided, emphasizing a focus on user feedback and practical solutions.