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[] Sasha's and Rupesh's preferred coffee
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Classroom Contents
Real-Time Machine Learning: Features and Inference - MLOps Podcast #135
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- 1 [] Sasha's and Rupesh's preferred coffee
- 2 [] Takeaways
- 3 [] Changes in LinkedIn
- 4 [] "Real-time" Machine Learning in LibnkedIn
- 5 [] Value of Feedback
- 6 [] Technical details behind getting the most recent information integrated into the models
- 7 [] Embedding Vector Search action occurrence
- 8 [] Meaning of "Real-time" Features and Inference
- 9 [] Are "Real-time" Features always worth that effort and always helpful?
- 10 [] Importance of model application
- 11 [] Challenges in "Real-time" Features
- 12 [] System design review on Pinterest
- 13 [] Successes of real-time features
- 14 [] Learnings to share
- 15 [] Branching for Machine Learning
- 16 [] Not so talked about discussion of "Real-time"
- 17 [] Wrap up
