Completed
- Evaluating the created dataset
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Classroom Contents
Symbolic Knowledge Distillation- From General Language Models to Commonsense Models Explained
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- 1 - Intro & Overview
- 2 - Sponsor: Weights & Biases
- 3 - Commonsense Knowledge Graphs
- 4 - ATOMIC dataset
- 5 - Generating the corpus from a model
- 6 - Prompting GPT-3
- 7 - Generating Events
- 8 - Generating Inferences
- 9 - Evaluating the created dataset
- 10 - Introducing the critic
- 11 - Using the critic to filter the data
- 12 - Training a student on the generated data
- 13 - Key Findings
- 14 - Comments & Conclusion