EURO 2024 Copenhagen
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3334. Generative AI For OR People: Disruptor, Enabler Or Distraction?

Invited abstract in session TA-46: Generative AI For OR People: Disruptor, Enabler Or Distraction? , stream Making an Impact.

Tuesday, 8:30-10:00
Room: 40 (building: 324)

Authors (first author is the speaker)

1. Making An Impact
EURO Practitioners' Forum
2. Michael Lindahl
Management Engineering, Technical University of Denmark

Abstract

Large Language Models (LLMs) have taken the world by storm since the release of ChatGPT. These models can work with large amounts of unstructured data, such as text and images. Their output is easy to understand, but they cannot reason and apply logic.
On the other hand, Mathematical Optimization Models require structured and complete data but provide optimal output. However, it can often be a challenge to collect the necessary data in an organization and ensure that users can interact with the final application and understand the output.
Can these very different models complement each other when we build OR applications?
This 90' session will be led by Michael Lindahl. Michael has been building OR-powered decision applications across different industries for more than 10 years. Since the release of ChatGPT, he has been exploring the synergies between simple optimization and LLMs by building the application www.findgaven.ai on top of their API's.
Michael will give an introduction to large language models, explaining their capabilities, the pitfalls, and how they can fit into the OR toolbox.
This will lead to discussion, with the audience invited to share not only their questions but also their own experiences, aspirations, and concerns.

Keywords

Status: accepted

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