Potential of Large Language Models (LLMs) in Power Engineering

Generative AI and large language models (or LLMs) have been a hot topic in today’s times with ChatGPT, Gemini, Facebook Llama, and other such products capturing people’s imagination. From writing a poem for your loved one to writing a Python code, creating a summary of a big report, and even creating a picture of an astronaut eating deep dish pizza in Soldier Field, LLMs have revolutionized the field of artificial intelligence in a unique way. So, what does this technology hold for the electric industry? How can LLMs be used for increasing productivity? What are the use cases What are the concerns in using it?

Join us for a brief introduction to large language models and their on-going adoption in the electric utility industry. Learn about ChatGrid – an application developed at Pacific Northwest National Laboratory (PNNL) for grid visualization powered by ChatGPT. Lastly, participate in an open conversation to talk about the uses, misuses, benefits, and concerns of using LLMs in the electric power sector.

Shrirang (Shri) Abhyankar, PNNL

Shri is a senior scientist in the Optimization and Control group at Pacific Northwest National Laboratory (PNNL). He received M.S. and Ph.D. degrees from Illinois Institute of Technology in 2006 and 2011, respectively. From 2009-2019, he was with Argonne National Laboratory (ANL) working with the Mathematics & Computer Science and Energy System Divisions. Since 2019, he is with the Optimization and Control Group at PNNL. Shri is a lead developer of several open-source tools, including ExaGO, GridPACK, and has made significant contributions to several other libraries – GridLab-D, HELICS, MATPOWER, and PETSc/TAO. Recently, his intrigue in using LLMs led to the development of a power grid visualization powered by ChatGPT called “ChatGrid”..

Date/Time

Mar 13, 2024 @ 12pm-1pm Central Time

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