Completed
[] Wrap up
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Classroom Contents
Designing ML Infrastructure for ML and LLM Use Cases
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- 1 [] Amritha and Abhik's preferred coffee
- 2 [] Takeaways
- 3 [] Please like, share, leave a review, and subscribe to our MLOps channels!
- 4 [] AI Quality In-person MLOps Community Conference on June 25th!
- 5 [] Abhik's background
- 6 [] Amritha's TLDR Journey
- 7 [] New Challenges in MLOps
- 8 [] ML Workflow Maturity Levels
- 9 [] Dev & Deploy Process Overview
- 10 [] Maturity Metrics and Progress
- 11 [] Automated ML Comparison: Semi vs. Fully
- 12 [] LLMs vs Traditional ML
- 13 [] Design MLOps for Usability
- 14 [] LatticeFlow Ad
- 15 [] Metrics Impact Assessment
- 16 [] Spark Learning Risks Analysis
- 17 [] MLOps User Journeys
- 18 [] ML Product Manager Transition & Constraints
- 19 [] AI Engineer Transition Guide
- 20 [] Data Compliance Challenge
- 21 [] Wrap up
