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