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[] Ray
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Classroom Contents
ML Scalability Challenges in Machine Learning - MLOps Coffee Session
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- 1 [] Waleed's preferred coffee
- 2 [] Takeaways
- 3 [] Waleed's background
- 4 [] Nvidia investment with Rey
- 5 [] Deep Learning use cases
- 6 [] Infrastructure challenges
- 7 [] MLOps level of maturity
- 8 [] Scale overloading
- 9 [] Large Language Models
- 10 [] Balance between fine-tuning forces prompts engineering
- 11 [] Deep Learning movement
- 12 [] Open-source models have enough resources
- 13 [] Ray
- 14 [] Value add for any scale from Ray
- 15 [] "Big data is dead" reconciliation
- 16 [] Causality in Deep Learning
- 17 [] AI-assisted Apps
- 18 [] Ray Summit is coming up in September!
- 19 [] Anyscale is hiring!
- 20 [] Wrap up
