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Classroom Contents
MLOps vs ML Orchestration - Exploring Challenges and Community-Driven Development
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- 1 [] Ketan's preferred coffee
- 2 [] Takeaways
- 3 [] Please like, share, and subscribe to our MLOps channels!
- 4 [] Shout out to Ketan and UnionAI for sponsoring this episode!
- 5 [] Orchestration recent changes
- 6 [] Community with Flyte
- 7 [] ML orchestration
- 8 [] 50/50 is generous
- 9 [] Real-time ML
- 10 [] Over engineering without benefits
- 11 [] Balancing everything
- 12 [] Union verse Flyte
- 13 [] High value features of Union AI at the back of Flyte
- 14 [] Building LLM infrastructure
- 15 [] Traditional ML is the whole prompting
- 16 [] LLMs to evaluating prompts
- 17 [] Wrap up
