Completed
- What are obvious next steps to make the system more powerful?
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Classroom Contents
Author Interview - Memory-Assisted Prompt Editing to Improve GPT-3 After Deployment
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- 1 - Intro
- 2 - Paper Overview
- 3 - What was your original motivation?
- 4 - There is an updated version of the paper!
- 5 - Have you studied this on real-world users?
- 6 - How does model size play into providing feedback?
- 7 - Can this be used for personalization?
- 8 - Discussing experimental results
- 9 - Can this be paired with recommender systems?
- 10 - What are obvious next steps to make the system more powerful?
- 11 - Clarifying the baseline methods
- 12 - Exploring cross-lingual customization
- 13 - Where did the idea for the clarification prompt come from?
- 14 - What did not work out during this project?
- 15 - What did you learn about interacting with large models?
- 16 - Final thoughts
