Deep dive into GenAI and Large Language Models (LLMs) for subsurface applications Friday June 14th | Room
George Ghon (Cap Gemini)
Cédric M. John (Environments Research Institute (DERI))
Lukas Mosser (Aker BP)
This workshop will cover an introduction to Large Language Models (LLMs) and Generative AI and evaluate their respective application space for subsurface solutions. In the morning, we will have a series of introductory talks covering the basics of Natural Language Processing (NLP), the transformer models architecture, as well as highlighting examples where generative models have delivered promising results on tasks related to geosciences. The sessions are tailored for subsurface domain specialists as well as generalists with a basic understanding of machine learning and data driven applications. The second part of the workshop will introduce the toolkit available to train large language models on custom datasets and provide a hands-on lab session to show a path toward building web applications. Toward the end of the day, we will host a panel discussion to sum up the learnings, discuss potential pitfalls and ethical dilemmas, and provide an outlook that balances opportunities and risks in modern AI applications.
Sub-Topics that will be covered in the workshop:
Basics of Natural Language Processing (NLP)
Introduction to Generative AI and the architecture of Large Language Models (LLMs)
The integration of language and computer vision tasks
Toolkit to build a GenAI application for an E&P organization.
Hands on lab exercise
Ethical considerations and opportunities vs. risks panel discussion
Machine Learning practitioners with an interest to apply Large Language Models; Subsurface professionals with an interest in NLP applications, LLMs, and GenAI in subsurface domains; Managers in energy companies who want to understand more about this disruptive new technology.
|Keynote Lecture: Introduction to the theory and applications of GenAI and large (language) models; Bjarte Johansen – Equinor
|Lecture: Leveraging generative AI for geological document digitization and information retrieval – Song Hou, CGG
|Lecture: AkerBP’s GenerativeAI Journey and AI Strategy, Lukas Mosser
|Lecture: Use Case: Subsurface chat bot; Gerrit Toxopeus - Equinor
|Lecture: GenAI guardrails with the NVIDIA NeMo framework, Oleg Ovcharenko
|Lab, facilitated by Microsoft
|Practical Session / Lab; Lukas Mosser, AkerBP & partners
|Practical Session / Lab; Ryan Cole, Cap Gemini & Vår Energi (Microsoft / Azure ML Studio)
|End of the Workshop