Observability in ML
Shreya discusses the challenges of maintaining accurate predictions in machine learning models, emphasizing the need for a robust observability framework. She outlines a three-pronged approach: detection of issues, diagnosis of the problems, and effective solutions, highlighting that often simpler fixes can be more effective than retraining models. The conversation sheds light on the complexities faced by both small companies and tech giants in ensuring model reliability.In this clip
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The Gradient
Shreya Shankar: Machine Learning in the Real World
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