Zobrazeno 1 - 10
of 486
pro vyhledávání: '"Retrieval augmented generation"'
Autor:
Keshav Rangan, Yiqiao Yin
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract This study presents an innovative enhancement to retrieval-augmented generation (RAG) systems by seamlessly integrating fine-tuned large language models (LLMs) with vector databases. This integration capitalizes on the combined strengths of
Externí odkaz:
https://doaj.org/article/585ddddf414c41859bf0a3b3dbfb2f54
Publikováno v:
Educational Technology & Society, Vol 27, Iss 4, Pp 454-470 (2024)
University admission consultation is a professional service that assists students with the university application process. Typically, accessing this service entails exploring university websites, directly contacting faculty members and officers via p
Externí odkaz:
https://doaj.org/article/1def23f23c554d11a962e11b2399a49e
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:
Jisuanji kexue yu tansuo, Vol 18, Iss 10, Pp 2643-2655 (2024)
Defect ratings and analysis and processing of different devices and equipment in the power system are often affected by the subjectivity of operation and maintenance personnel, resulting in different severity ratings for the same defect text descript
Externí odkaz:
https://doaj.org/article/d0052ca268a84ffd9dd908a5807dd068
Publikováno v:
Journal of Engineering Science (Chişinău), Vol XXXI, Iss 2, Pp 48-59 (2024)
The natural language processing (NLP) field has witnessed remarkable advancements with the advent of large language models (LLMs) like GPT, Gemini, Claude, etc. These models are trained on vast amounts of text data, allowing them to generate human-li
Externí odkaz:
https://doaj.org/article/e24179d952664a988a37ca394418cf69
Autor:
Tiezheng Guo, Qingwen Yang, Chen Wang, Yanyi Liu, Pan Li, Jiawei Tang, Dapeng Li, Yingyou Wen
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 7063-7076 (2024)
Abstract Large language models have achieved outstanding performance on various downstream tasks with their advanced understanding of natural language and zero-shot capability. However, they struggle with knowledge constraints, particularly in tasks
Externí odkaz:
https://doaj.org/article/0deaacadc21f4a558d0b196569d9688b
Autor:
Giorgia Di Marcantonio
Publikováno v:
Bibliothecae.it, Vol 13, Iss 1, Pp 146-173 (2024)
Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems offer a new paradigm for querying and retrieving information, making the resource recovery processes more efficient and accurate due to their ability to learn and generate
Externí odkaz:
https://doaj.org/article/9d4de1b8889a469d814b1abe38f55772
Publikováno v:
Telematics and Informatics Reports, Vol 16, Iss , Pp 100181- (2024)
Medicinal plants are offering a lot of potential for treatment of various chronic diseases as well as healing wounds, enhancing healthy living for consumers. The Nepalese and Indian agriculture systems are one of the main areas focusing on medicinal
Externí odkaz:
https://doaj.org/article/46caba1a1a70419b847805ebf9d69d72
Publikováno v:
Additive Manufacturing Letters, Vol 11, Iss , Pp 100232- (2024)
Generalized large language models (LLMs) such as GPT-4 may not provide specific answers to queries formulated by materials science researchers. These models may produce a high-level outline but lack the capacity to return detailed instructions on man
Externí odkaz:
https://doaj.org/article/e4fe90beec9e4d5c9efabedb9f46cd95
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