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pro vyhledávání: '"Eric L. Buehler"'
Autor:
Eric L. Buehler, Markus J. Buehler
Publikováno v:
APL Machine Learning, Vol 2, Iss 2, Pp 026119-026119-41 (2024)
We report a mixture of expert strategy to create fine-tuned large language models using a deep layer-wise token-level approach based on low-rank adaptation (LoRA). Starting with a set of pre-trained LoRA adapters, our gating strategy uses the hidden
Externí odkaz:
https://doaj.org/article/3b0136e248e54c8b9230cc013fa5f19f
Autor:
Eric L. Buehler, Markus J. Buehler
Publikováno v:
Biomedical Engineering Advances, Vol 4, Iss , Pp 100038- (2022)
The prediction of stress, strain fields or fracture patterns, along with other physical quantities as a function of boundary conditions and material microstructure, is an important objective of various physics-based simulation methods like finite ele
Externí odkaz:
https://doaj.org/article/1ed5885370a9460c9d6acc232eb3b985
Publikováno v:
Extreme Mechanics Letters. 42:101034
Spiders, silks and webs are abundant in most ecosystems, suggesting that they are a significant evolutionary success. The structures they build – in particular various forms of webs – have intrigued engineers for a long time, and elucidated inspi