Sustainability of large language models-user perspective

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F25%3A10515063" target="_blank" >RIV/00216208:11310/25:10515063 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=5fs4SiNjCJ" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=5fs4SiNjCJ</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/fee.2856" target="_blank" >10.1002/fee.2856</a>

Result language
angličtina
Original language name
Sustainability of large language models-user perspective
Original language description
Large language models (LLMs) are becoming an integral part of our daily work. In the field of ecology, LLMs are already being applied to a wide range of tasks, such as extracting georeferenced data or taxonomic entities from unstructured texts, information synthesis, coding, and teaching (Methods Ecol Evol 2024; Npj Biodivers 2024). Further development and increased use of LLMs in ecology, as in science in general, is likely to intensify and accelerate the process of research and increase publication output-thus pressuring scientists to keep up with the elevated pace, which in turn creates a feedback loop by promoting even greater LLM use.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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