Argonne explains... Large Language Models (LLMs): How Do We Build Trust in AI?

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The Department of Energy’s Argonne National Laboratory is a leading research institution dedicated to advancing scientific knowledge and solving some of the world's most pressing problems.

At Argonne, researchers are harnessing next-generation tools like large language models (LLMs) to process information and make discoveries faster than ever before. However, some people might be hesitant to use this technology either because they are unfamiliar with the process or unsure about how the model generates the answers.

To address this issue, Argonne scientists are developing methods to validate and calibrate LLMs, as well as integrating human feedback and oversight into the model training process.

In this video, experts include Tanwi Mallick, Thomas Brettin, Nicholas Chia and Priyanka Vasanthakumari share their advice on working with and trusting LLMs.

Check out the article that spawned this video series ►►

For more information on Argonne’s work with artificial intelligence ►►

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ABOUT ARGONNE

Argonne National Laboratory seeks solutions to pressing national problems in science and technology by conducting leading-edge basic and applied research in virtually every scientific discipline. Argonne is managed by UChicago Argonne, LLC for the U.S. Department of Energy’s Office of Science.

The U.S. Department of Energy’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, visit the Office of Science website.