Speaker
Description
Regardless of how we look at AI large language models (LLMs) - as a massive collection of data from which we can cleverly extract information, as an assistant who can perform simple tasks for us and write simple codes, or perhaps as a machine that randomly selects words, in a sense guided by what it have had has seen in the past - we are undoubtedly witnessing a revolution.
In the seminar, I will discuss selected aspects of the use of modern large language models, such as Gemini, Grok, ChatGPT, DeepSeek, and Claude. I will discuss the concept of a single prompt and its use to generate computer code for dozens of models across computational physics, statistical physics, computational fluid dynamics, and more. I will illustrate the presentation with practical examples of how language models generate code for research in computational physics with a focus and specific examples in porous media flows and computing tortuosity.
| Country | Poland |
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