DiscoverJust Now PossibleDebugging AI Products: From Data Leakage to Evals with Hamel Husain
Debugging AI Products: From Data Leakage to Evals with Hamel Husain

Debugging AI Products: From Data Leakage to Evals with Hamel Husain

Update: 2025-10-02
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Guest: Hamel Husain


AI products and problems discussed:



Resources & Links



Chapters:
00:00 Introduction to Hamel Hussein
00:34 Challenges in AI Consulting
02:00 Machine Learning Fundamentals
04:47 Debugging Machine Learning Models
05:00 Case Study: Airbnb's Guest Growth
08:51 Understanding Machine Learning Models
18:35 Introduction to Nurture Boss
25:40 Building AI Products with Synthetic Data
41:20 Connecting Machine Learning to Error Analysis
42:28 Real-World Example: Text Message Errors
44:15 Prioritizing and Documenting Errors
45:59 Continuous Improvement and Iteration
58:08 Using Synthetic Data for Evaluation
01:08:42 Avoiding Overfitting in Evaluations
01:19:28 Practical Tips for Error Analysis
01:25:10 Final Thoughts and Resources

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Debugging AI Products: From Data Leakage to Evals with Hamel Husain

Debugging AI Products: From Data Leakage to Evals with Hamel Husain

Teresa Torres