Systems Engineering in Machine Learning - Navigating Low-Level Challenges
Offered By: MLOps.community via YouTube
Course Description
Overview
Syllabus
[] Andrew's preferred coffee
[] Introduction to Andrew Dye
[] Takeaways
[] Huge shoutout to our sponsors UnionML and UnionAI!
[] Andrew's background
[] Andrew's learning curve
[] Bridging the gap between firmware space and MLOps
[] In connection with Pytorch team
[] Things that should have learned sooner
[] Type of scale Andrew works on
[] Distributed training at Meta
[] Managing the huge search space
[] Execution patterns programs
[] Non-ML engineers dealing with ML engineers having the same skill set
[] Pace rapid change adoptation
[] Consensus challenges
[] Abstractions making sense now
[] Comparing to others
[] General principles in UnionAI tooling
[] Seeing the future
[] Inter-task checkpointing
[] Combining functionality with use cases
[] Wrap up
Taught by
MLOps.community
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