Intro to AI Series: Introduction to LLM Prompt Engineering

Shilpika, ALCF
Student Training/Education Beginner

– CT

Virtual
Host Taylor Childers, Paige Kinsley, and Venkat Vishwanath, ALCF
Systems Polaris
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Shilpika Session 5 Graphic

From October 1 - November 12, 2024, the ALCF will host a 7-part weekly virtual training series to teach undergraduates and graduates the fundamentals of using world-class supercomputers to advance the use of AI for research.


 

Intro to AI Series: Session 5

Trainees will learn about the nuanced craft of prompt engineering, exploring the roles of clarity, relevance, specificity, and the strategic balance between detail and conciseness when designing prompts for Large Language Models. Trainees will also learn about Research Augmented Generation (RAG), a method that enhances LLM performance by integrating external data through retrieval tools.

Lecturer

Shilpika is a Postdoctoral Appointee at the Argonne Leadership Computing Facility. Her research focuses on data visualization and analysis of high-performance computing systems, including visualization and interpretation of AI for science to enable informed decision-making in AI workflows. Shilpika obtained an MS in Computer Science in 2016 from Loyola University Chicago and a Ph.D. in Computer Science in 2023 from the University of California Davis. 

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