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AI Pipelines with Maxime Armstrong and Yuhan Luo

Software Engineering Daily

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Cost Management in AI Pipelines

This chapter explores the financial challenges of developing AI-powered applications, focusing on costs associated with model training and data pipeline management. It emphasizes the importance of observability and data engineering techniques to mitigate unexpected expenses and enhance model performance from the start. The discussion also covers strategies for optimizing costs while ensuring efficient data handling in complex AI systems.

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