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Shreya Shankar: Machine Learning in the Real World

The Gradient: Perspectives on AI

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Implementing Machine Learning Models and ML Monitoring

The speakers discuss the barriers of implementing machine learning models, focusing on issues like hallucinations and the importance of ML monitoring. They question whether existing DevOps tools like Prometheus are suitable for ML monitoring and discuss the challenges of handling latency for an endpoint. The chapter also delves into the challenges faced by ML engineers, highlighting the importance of job security and promotion, as well as the disconnect between what gets engineers promoted and what results in a functional product.

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