Building and Maintaining High-Performance AI

Building and Maintaining High-Performance AI

Data Science Dojo via YouTube Direct link

Introduction

1 of 14

1 of 14

Introduction

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Classroom Contents

Building and Maintaining High-Performance AI

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  1. 1 Introduction
  2. 2 Managing ML Model Performance is a huge problem
  3. 3 What we often hear
  4. 4 Why is frequent retraining not sufficient?
  5. 5 Why is alerting alone not sufficient?
  6. 6 Observe and iterate
  7. 7 Fundamental #1: Observe & Iterate
  8. 8 Example: Addressing concept drift
  9. 9 Example: Addressing data pipeline issue
  10. 10 Debug rapidly
  11. 11 Performance Debugging In Action
  12. 12 Data pipeline issue for Latitude Feature!
  13. 13 Test and Monitor LLMs
  14. 14 Key Takeways

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