Workshop 17
Deep dive into GenAI and Large Language Models (LLMs) for subsurface applications Sunday June 1st |
Convenors
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Description
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Participants Profile
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Workshop Programme
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Time | Activity |
---|---|
. | PART I: Theory and use cases |
08:30 | Keynote Lecture: Introduction to the theory and applications of generative AI, with a particular focus around recent advancements in NLP and language models such as ChatGPT. - Bjarte Johansen, Equinor |
09:15 | Q&A |
9:30 | Leveraging generative AI for geological document digitization and information retrieval – Song Hou, CGG |
10:00 | Coffee Break |
10:20 | GenerativeAI for Image Data. - Lukas Mosser, AkerBP |
10:50 | Chatting with your data using a RAG framework – case studies. - Gerrit Toxopeus, Equinor and Eirik Haughom, Microsoft |
11:20 | Q&A |
11:30 | Lunch |
. | PART II: Lab, practical considerations, and introduction to infrastructure requirements |
12:15 | Introduction to guardrails: GenAI guardrails with the NeMo framework. - Oleg Ovcharenko, NVIDIA |
13:00 | Lab & Practical, facilitated by Microsoft |
- | Practical Session / Lab – Matt Hall, Equinor |
. | Coffee break |
- | Practical Session / Lab – Matt Hall, Equinor |
. | PART III: Discussion |
15:00 | Panel discussion, moderated by George Ghon and Lukas Mosser. Participants: - Peder Aursand, AkerBP - Therese Rannem, Equinor - Song Hou, CGG - Tina Koziol, WDEA - Gareth O’Brien, Microsoft - Nils Nilsen, Slb - |
16:00 | End of the Workshop |