Zobrazeno 1 - 10
of 11 999
pro vyhledávání: '"PROMPT"'
Autor:
Albanai, Tareq, author
Publikováno v:
Empowering the UN Security Council : Reforms to Address Modern Threats, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780197780602.003.0002
Publikováno v:
The Electronic Library, 2024, Vol. 42, Issue 6, pp. 879-904.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EL-01-2024-0022
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 741-747 (2024)
This study assesses the efficiency of large language models (LLMs) in generating university course structures, comparing traditional methods with Retrieval-Augmented Generation (RAG). It involves a comparative analysis across twelve courses using fou
Externí odkaz:
https://doaj.org/article/0047e1b868b94e8eb41224481c16e996
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract In the financial field, constructing efficient investment portfolios is a focal point of research, encompassing asset selection and optimization of asset allocation. With the advancements in Large Language Models (LLMs), generative Artificia
Externí odkaz:
https://doaj.org/article/3fc7088462204b0e9d03de993b22b409
Autor:
Madeline Theodorlis, Jessica Edmonds, Sara Sino, Mavis S. Lyons, Jessica U. Ramlakhan, Kara Nerenberg, Anna R. Gagliardi
Publikováno v:
BMC Women's Health, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background Persons (henceforth, women) who have hypertensive disorders of pregnancy (HDP) are at risk of premature cardiovascular disease (CVD). While largely preventable through lifestyle management, many women and clinicians are unaware of
Externí odkaz:
https://doaj.org/article/4a3d27d447db4333b3c800d8426c4197
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 11, Pp 2912-2924 (2024)
Aiming at the problems of insufficient model input information and poor reasoning performance in knowledge-based visual question answering (VQA), this paper constructs a PTCR knowledge-based VQA framework based on large language model (LLM), which co
Externí odkaz:
https://doaj.org/article/e4e53f5c0d994e03bc37d02787f8f68d
Autor:
Mathieu Jacomy, Erik Borra
Publikováno v:
Sociologica, Vol 18, Iss 2, Pp 25-65 (2024)
This essay critically examines some limitations and misconceptions of Large Language Models (LLMs) in relation to knowledge and self-knowledge, particularly in the context of social sciences and humanities (SSH) research. Using an experimental approa
Externí odkaz:
https://doaj.org/article/aafbf46766414da8872d4cba7b5e953f
Publikováno v:
Genomics & Informatics, Vol 22, Iss 1, Pp 1-5 (2024)
Abstract The extraction of biological regulation events has been a key focus in the field of biomedical nature language processing (BioNLP). However, existing methods often encounter challenges such as cascading errors in text mining pipelines and li
Externí odkaz:
https://doaj.org/article/00806be6fd184bb8b88e3359dbd8523a
Publikováno v:
Journal of Isotopes, Vol 37, Iss 5, Pp 455-462 (2024)
Sodium iodide (NaI) detector has wide applications in Prompt Gamma-ray Neutron Activation Analysis (PGNAA) due to its excellent detection efficiency and relatively low cost. In order to obtain the response of the detector to gamma-rays during PGNAA m
Externí odkaz:
https://doaj.org/article/f8d437322531478982be913a13c5db07
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract In the domain of natural language processing, the rise of Large Language Models and Generative AI represents a noteworthy transition, enabling machines to understand and generate text resembling that produced by humans. This research conduct
Externí odkaz:
https://doaj.org/article/62ad1321264b484f962fd8e2ec1a7266