Prompt engineering educator and researcher specializing in large language model techniques
Core Idea: Sander Schulhoff is a prominent figure in prompt engineering education who founded Learn Prompting, created the first open-source prompt engineering guide, and contributes to academic research in the field.
Key Elements
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Key contributions
- Founded Learn Prompting, an educational resource that has reached over 3 million people
- Created the first open-source Prompt Engineering guide
- Led the team behind Prompt Report, described as the most comprehensive study of prompting
- Researches machine learning at the University of Maryland
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Academic work
- Machine Learning Researcher at the University of Maryland
- Led a collaborative research effort analyzing over 1,500 academic papers
- Documented approximately 200+ prompting techniques in comprehensive research
- Collaborated with researchers from leading institutions including OpenAI, Microsoft, Google, Princeton, and Stanford
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Educational impact
- Taught millions of people how to effectively use tools like ChatGPT
- Pioneered accessible educational content about prompt engineering
- Developed practical guides for applying prompting techniques
- Helped democratize knowledge about LLM interaction methods
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Professional focus
- Prompt engineering methodologies
- LLM interaction techniques
- Educational content development
- Academic research in machine learning
Notable Works
Learn Prompting Guide
- The first open-source comprehensive guide to prompt engineering
- Reached over 3 million users globally
- Provides practical instruction on using modern AI tools
- Continuously updated with new techniques and approaches
Prompt Report
- 76-page comprehensive survey of prompting techniques
- Analyzed over 1,500 academic papers
- Covered more than 200 prompting techniques
- Co-authored with researchers from leading AI organizations and academic institutions
Connections
- Related Concepts: Prompt Engineering (his primary field), Prompt Patterns (techniques he documents)
- Broader Context: AI Education (his educational work), NLP Research (academic field)
- Applications: Learn Prompting (his platform), Prompt Engineering Guide (his educational resource)
- Components: Prompt Report (his research publication)
References
- Learn Prompting website: https://learnprompting.org/
- Document footnote information from Learn Prompting website
- Academic profile at University of Maryland (implied from the document)
#prompt-engineering #ai-education #researchers #machine-learning
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