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Towards high-quality (maybe synthetic) datasets

Practical AI

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Collaborative Data Strategies in AI

This chapter explores the vital collaboration between domain experts and data scientists in developing effective AI models. It emphasizes the importance of clearly defining problems, curating data, and establishing benchmarks to enhance model performance. Listeners are guided through a structured approach to navigate the complexities of data collaboration and machine learning workflows.

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