Machine Learning for Developer Productivity

Machine Learning for Developer Productivity

Strange Loop Conference via YouTube Direct link

Token Features

17 of 23

17 of 23

Token Features

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Machine Learning for Developer Productivity

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  1. 1 Intro
  2. 2 A modern autocomplete
  3. 3 Google Sheets
  4. 4 The naturalness of code
  5. 5 The bimodality of code
  6. 6 Code has predictable properties
  7. 7 Rapid advances in ML
  8. 8 ML in Software Lifecycle
  9. 9 Autocomplete tools boost developer productivity
  10. 10 RNN as a language model learner
  11. 11 Transformers
  12. 12 Other architectures for code completion
  13. 13 A popular design today: Pretraining and Finetuning
  14. 14 Motivation
  15. 15 Recommendation 1
  16. 16 Problem Statement
  17. 17 Token Features
  18. 18 Parent Features
  19. 19 Sibling Features
  20. 20 Variable Usage Features
  21. 21 We've been writing code for 70 years, all without ML help
  22. 22 Why inevitable?
  23. 23 Open Questions

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