CustomGPT: https://chat.openai.com/g/g-vYsvb1FoE-ml-role-play-by-harshit-kumar
Diverse perspectives (Archaeologist, Private Investigator, Explainer, Diagrammer, Policymaker, Industrial Researcher, Academic Researcher, and NeurIPS reviewer)
It provides detail by acting as
- Archaeologist: knows the history about the history of provided ML technique
- Private investigator: knows the authors
- Explainer: explains the idea
- Diagrammer: illustrates the idea
- Policymaker: knows the societal impact
- Industrial researcher: proposes an application
- Academic researcher: proposes follow-on research
- NeurIPS reviewers: NeurIPS peer-review
'ML Role Play' can now respond to the prompt "Act as an ML role player for [ML Technique]" by combining insights from all its roles into a single, comprehensive response. When prompted this way, the model will integrate perspectives from the Archaeologist, Private Investigator, Explainer, Diagrammer, Policymaker, Industrial Researcher, Academic Researcher, and NeurIPS reviewer. It will provide a unified overview that includes the historical context, key contributors, a clear explanation, visual representation ideas, societal impacts, practical applications, research suggestions, and a critical evaluation. This comprehensive approach offers a multi-faceted understanding of the ML technique in one cohesive response.
Dataset: Khoury's CS 7150 Deep Learning projects
