Scaling Up AI Research to Production with PyTorch and MLFlow

Scaling Up AI Research to Production with PyTorch and MLFlow

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Large Models

20 of 30

20 of 30

Large Models

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Scaling Up AI Research to Production with PyTorch and MLFlow

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  1. 1 Introduction
  2. 2 Agenda
  3. 3 Simplicity over Complexity
  4. 4 Community
  5. 5 Papers with Code Calm
  6. 6 Facebook
  7. 7 Challenges
  8. 8 Dev Acts
  9. 9 Code Walkthrough
  10. 10 PyTorch Libraries
  11. 11 Model Size and Compute Needs
  12. 12 Pruning
  13. 13 Quantization
  14. 14 Quantization API
  15. 15 Quantization Results
  16. 16 Training Models at Scale
  17. 17 Deploy Heterogeneous Hardware
  18. 18 Adhoc Jobs
  19. 19 PyTorch Elastic
  20. 20 Large Models
  21. 21 Remote Procedure Call
  22. 22 API Overview
  23. 23 Deployment at Scale
  24. 24 PyTorch Service
  25. 25 MLFlow
  26. 26 PyTorch Update
  27. 27 Domain Libraries
  28. 28 Getting Educated
  29. 29 Books
  30. 30 Channels

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