AI智能总结
Riding the Wave Robert AustinEPRI 16thChina International Exhibition on Nuclear Power IndustryApril 29, 2025 w w w . e p r i . c o m EPRI’s Role Overview §AI is coming §EPRI is there §What now? Performance Increases from Model Scaling (percentile on common exams compared to human test-takers) AI is NOT new in nuclear §“Early” AI –Advanced Pattern Recognition–Computer vision–Early language models §Collaboration opportunities–AI/DX Summits (2021, 2022, Jan 2025)–Data-Driven Decision Making (3DM) Learning how to ride the wave Large Language ModelRetrieval Augmented Generation (RAG): Basics How to ride the AI wave §“Don’t tell me what to do. Tell me howto do it.” Matt Hall,EvergyHow to develop a strategy, project §selection, business cases:–Digital Transformation RoadmapHow to execute, testing, metrics - see §–Automating Corrective Action Programs in theNuclear Industry (3002023821)–Good Practice Guide for Setting Up LargeLanguage Model-Powered Projects(3002030935)Data sharing § –“No one should have to have their ownwildfires to collect wildfire data.” JasonGlickman, PG&E, 2025 AI / DX Summit UT Weld Inspections – Generate LOTS of Data forInspectors to Review Value in Perspective: Faster, Focused Data Analysis Field Trials Amazing support from industry! Field trials continue to be crucial to technologydevelopment What’s next? Bringing Enduring Value to the Global Electric Sector Three Key Pillars of Open Power AI Powering Global Collaboration and Innovation How to Get Involved and Ride the Wave Data-Driven DecisionMaking (3DM) •Rob Austinraustin@epri.com•Christine Leeclee@epri.com •OpenPowerAI@epri.com•Share your priority use cases•Work with a global collaboration network Open Power AIConsortium •Jeremy Renshawjrenshaw@epri.com•https://msites.epri.com/spn/research/113080/ai.epri-supplemental AI.EPRI