Zobrazeno 1 - 10
of 470
pro vyhledávání: '"large language model (LLM)"'
Autor:
JI Xiangyu, WANG Xin, ZHANG Heyi, MENG Zhaopeng, ZHANG Junhua, ZHUANG Pengwei, JIA Yongzhe, XU Dawei
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 10, Pp 2616-2629 (2024)
Recently, large language models (LLM) have made significant achievements in various fields. However, due to lack of specialized knowledge and the gap between modern medicine and traditional Chinese medicine (TCM), it is still a challenge to deploy LL
Externí odkaz:
https://doaj.org/article/82a25b49e5c24848b518a21bbe8945cf
Publikováno v:
Revista Română de Informatică și Automatică, Vol 34, Iss 3, Pp 105-116 (2024)
For a large number of citizens dealing with public authorities can feel like a harrowing experience. With a large amount of bureaucracy and ever-changing rules and procedures, it can be quite confusing for people to achieve their goals. The aim of th
Externí odkaz:
https://doaj.org/article/ef0ee449633244609a6e21171d9fa25a
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 9, Pp 2326-2336 (2024)
Relation extraction, as a key task in natural language processing, plays a significant role in deepening language understanding, constructing knowledge graphs, and optimizing information retrieval systems. However, traditional supervised learning met
Externí odkaz:
https://doaj.org/article/84f6e43c102c45628198bcbcbfb881df
Publikováno v:
Frontiers in Ophthalmology, Vol 4 (2024)
Externí odkaz:
https://doaj.org/article/12fa261eafa6499cb9998dc835c87e8f
Autor:
Jiayan Huang, Rui Yang, Xiaotong Huang, Keyu Zeng, Yan Liu, Jun Luo, Andrej Lyshchik, Qiang Lu
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
BackgroundLarge language models (LLMs) offer opportunities to enhance radiological applications, but their performance in handling complex tasks remains insufficiently investigatedPurposeTo evaluate the performance of LLMs integrated with Contrast-en
Externí odkaz:
https://doaj.org/article/7393d7efe08e4ff09f6d71a388fe8146
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103218- (2024)
The major objective of the present research is to inspect sentiment analysis models that have been trained on Twitter corpus by utilising the Large Language Model (LLM) gpt-3–5-turbo-16k version of the Generative Pretrained Transformer (GPT 3.5) mo
Externí odkaz:
https://doaj.org/article/cb7f80909de54a79b835bf5a6b101dd8
Autor:
Edwin C.Y. Koh
Publikováno v:
Natural Language Processing Journal, Vol 9, Iss , Pp 100103- (2024)
The Design Structure Matrix (DSM) is an established method used in dependency modelling, especially in the design of complex engineering systems. The generation of DSM is traditionally carried out through manual means and can involve interviewing exp
Externí odkaz:
https://doaj.org/article/dfc6d8b7498743a8995b8ea9323e783b
Autor:
Amogh Mannekote, Adam Davies, Juan D. Pinto, Shan Zhang, Daniel Olds, Noah L. Schroeder, Blair Lehman, Diego Zapata-Rivera, ChengXiang Zhai
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
In recent years, large language models (LLMs) have seen rapid advancement and adoption, and are increasingly being used in educational contexts. In this perspective article, we explore the open challenge of leveraging LLMs to create personalized lear
Externí odkaz:
https://doaj.org/article/845f1696a4e5453eab1869f203b9aec4
Autor:
Radu-Daniel BOLCAȘ
Publikováno v:
Revista Română de Informatică și Automatică, Vol 34, Iss 2, Pp 85-96 (2024)
This paper investigates the utilisation of ChatGPT (Generative Pre-trained Transformer) in the field of Facial Emotion Recognition (FER), streamlining development processes and making them smoother and faster. With ChatGPT, coding and debugging happe
Externí odkaz:
https://doaj.org/article/a85c2df5c66a422b9f89e77579364fc4
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 6, Pp 1637-1647 (2024)
With the growth of water conservancy and the increasing demand for information, handling and representing large volumes of water-related data has become complex. Particularly, scheduling textual data often exists in natural language form, lacking cle
Externí odkaz:
https://doaj.org/article/38e1d72572554f33a5a15ef051b7c8a3