AI Model Efficiency Toolkit (AIMET) - Lecture 25

AI Model Efficiency Toolkit (AIMET) - Lecture 25

MIT HAN Lab via YouTube Direct link

Conditional Compute

16 of 17

16 of 17

Conditional Compute

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AI Model Efficiency Toolkit (AIMET) - Lecture 25

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  1. 1 Introduction
  2. 2 Challenges
  3. 3 Qualcomm AI Research
  4. 4 Qualcomm Core Technologies
  5. 5 Layers of Interest
  6. 6 Inference
  7. 7 Features
  8. 8 Adaptive Rounding
  9. 9 Autocon
  10. 10 Training
  11. 11 Image Model Zoo
  12. 12 Transformer Quantization
  13. 13 Snapdragon Gen 2
  14. 14 GitHub
  15. 15 Qualcomm Snapdragon 8
  16. 16 Conditional Compute
  17. 17 Demo

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