Creating Virtual Worlds: Using LLM Generate Synthetic Data for AI Digital Twins

In this video, we will explore synthetic data and its crucial role in the development and improvement of AI Digital Twins. Discover how Large Language Models (LLMs) are used to simulate human behaviour in a virtual environment, generating diverse and comprehensive datasets. These datasets, known as synthetic data, are used to train and improve AI Digital Twins, revolutionizing the way we manage and plan smart cities.

Why is synthetic data so important for AI Digital Twins? How can we generate this data in a way that accurately reflects the complexities and variabilities of human behaviour? This video answers these questions and more, providing valuable insights into the transformative potential of synthetic data.

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Timestamp:
“0:00 - Introduction”
“1:06 - The Need for Synthetic Data in AIDT”
“2:06 - Simulating Human Behavior to Generate Synthetic Data”
“3:41 - Case Study: The Sims-Inspired Sandbox Environment”
“7:02 - Synthetic Data for AIDT”

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Speaker - Yilin Li:
  / yilin-li-a3bb8b265  

Join the CeADAR community to learn more about digital twins and other DSAI topics: https://community.ceadar.ie/share/Pzy...

CeADAR links:
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References:
1, Park, J.S., O'Brien, J.C., Cai, C.J., Morris, M.R., Liang, P. and Bernstein, M.S., 2023. Generative agents: Interactive simulacra of human behavior. arXiv preprint arXiv:2304.03442.
2, Generative agents demo: https://reverie.herokuapp.com/arXiv_D...

#ai #aidigitaltwin #digitaltwin #digitaltwins #largelanguagemodel #syntheticd