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[] Experiment tracking and LLMs
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How to Systematically Test and Evaluate LLM Apps - MLOps Podcast
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- 1 [] Gideon's preferred coffee
- 2 [] Takeaways
- 3 [] A huge shout-out to Comet ML for sponsoring this episode!
- 4 [] Please like, share, leave a review, and subscribe to our MLOps channels!
- 5 [] Evaluation metrics in AI
- 6 [] LLM Evaluation in Practice
- 7 [] LLM testing methodologies
- 8 [] LLM as a judge
- 9 [] OPIC track function overview
- 10 [] Tracking user response value
- 11 [] Exploring AI metrics integration
- 12 [] Experiment tracking and LLMs
- 13 [] Micro Macro collaboration in AI
- 14 [] RAG Pipeline Reproducibility Snapshot
- 15 [] Collaborative experiment tracking
- 16 [] Feature flags in CI/CD
- 17 [] Labeling challenges and solutions
- 18 [] LLM output quality alerts
- 19 [] Anomaly detection in model outputs
- 20 [] Wrap up
