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Episode 45: Your AI application is broken. Here’s what to do about it.

Vanishing Gradients

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Mastering Error Analysis in AI Development

This chapter dives into the critical process of error analysis in developing AI applications, focusing on the importance of understanding data and identifying misclassifications. The speakers discuss practical approaches for systematic evaluation, emphasizing the need for thorough examination of errors to improve application performance. They also highlight various resources and techniques, including the use of large language models, to enhance data analysis and application building.

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