Скачать или смотреть Intro to AI Series: Introduction to LLM Prompt Engineering

Watch this session to 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.

Lecturers
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.

Archit Vasan is a postdoctoral appointee in the Argonne Leadership Computing Facility with a background in computational biophysics. His research interests at ALCF involve the discovery of cancer drugs using machine Learning coupled to exascale computing. Archit received a BA in Physics and Mathematics from Austin College in 2016. He then received his PhD in Biophysics from the University of Illinois at Urbana-Champaign in 2023 under the guidance of Dr. Emad Tajkhorshid.

AI for Science Speaker
Marieme Ngom is an Assistant Computer Scientist at the Argonne Leadership Computing Facility. Her research interests include probabilistic machine learning, high-performance computing, and dynamical systems modeling with applications in chemical engineering and material sciences. Ngom received her Ph.D. in mathematics from the University of Illinois at Chicago (UIC) in 2019 under the supervision of Prof. David Nicholls. Marieme holds an MSc in mathematics from the University of Paris-Saclay (formerly Paris XI), an MSc in computer science from the National Polytechnic Institute of Toulouse, and an MEng in computer science and applied mathematics from the École nationale supérieure d’électrotechnique, d’électronique, d’informatique, d’hydraulique et des télécommunications (ENSEEIHT) in Toulouse.

Chapters:
Introduction: 0:00
Introduction to LLM Prompt Engineering: 0:48
Retrieval Augmented Generation (RAG): 32:56
AI for Science Talk: 57:40