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