Zobrazeno 1 - 10
of 116
pro vyhledávání: '"generative pre-trained transformer (GPT)"'
Publikováno v:
Public Administration and Policy, 2024, Vol. 27, Issue 2, pp. 140-153.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PAP-05-2023-0061
Publikováno v:
Public Administration and Policy, Vol 27, Iss 2, Pp 140-153 (2024)
Purpose – This paper analyzes the ethics of integrating Artificial Intelligence (AI), particularly regarding AI-generated educational content in academia. It attempts to explore how AI customization mimics human interaction and behavior in educatio
Externí odkaz:
https://doaj.org/article/b582af545c4d4969b51d48a7db3840a5
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract In the ongoing battle against adversarial attacks, adopting a suitable strategy to enhance model efficiency, bolster resistance to adversarial threats, and ensure practical deployment is crucial. To achieve this goal, a novel four-component
Externí odkaz:
https://doaj.org/article/5ead175d79b64c999b4885a5d5899c38
Autor:
Francesco Puleio, Giorgio Lo Giudice, Angela Mirea Bellocchio, Ciro Emiliano Boschetti, Roberto Lo Giudice
Publikováno v:
Applied Sciences, Vol 14, Iss 23, p 10802 (2024)
Artificial intelligence (AI), specifically Generative Pre-trained Transformer (GPT) technology, has revolutionized various fields, including medicine and dentistry. The AI model ChatGPT, developed by OpenAI, mimics human language on a large scale, ge
Externí odkaz:
https://doaj.org/article/2e4341c550134d5aad34b91e5760dc03
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34262- (2024)
Recent advancements in natural language processing, computational linguistics, and Artificial Intelligence (AI) have propelled the use of Large Language Models (LLMs) in Automated Essay Scoring (AES), offering efficient and unbiased writing assessmen
Externí odkaz:
https://doaj.org/article/86d2486da7d949f5b912240bd12e5fc0
Autor:
Mahmud Omar, Shelly Soffer, Alexander W. Charney, Isotta Landi, Girish N. Nadkarni, Eyal Klang
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
BackgroundWith their unmatched ability to interpret and engage with human language and context, large language models (LLMs) hint at the potential to bridge AI and human cognitive processes. This review explores the current application of LLMs, such
Externí odkaz:
https://doaj.org/article/d9e1dd773a334da983bfae6ba1f3cfd4
Autor:
Lazar Stošić, Aleksandra Janković
Publikováno v:
Pravo, Vol 40, Iss 4 (2023)
The primacy of artificial intelligence (AI) in education has become increasingly relevant in recent times, aiming to facilitate the easier acquisition of material. There is a growing emphasis on the implementation of AI and the search for ways to inc
Externí odkaz:
https://doaj.org/article/20d6bb9e5b6a4d329baba4ce189973e5
Autor:
Shahab Saquib Sohail, Faiza Farhat, Yassine Himeur, Mohammad Nadeem, Dag Øivind Madsen, Yashbir Singh, Shadi Atalla, Wathiq Mansoor
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 8, Pp 101675- (2023)
Chat Generative Pre-trained Transformer (ChatGPT) has gained significant interest and attention since its launch in November 2022. It has shown impressive performance in various domains, including passing exams and creative writing. However, challeng
Externí odkaz:
https://doaj.org/article/908dc28777014824b069875e3201bc3a
Publikováno v:
Information, Vol 15, Iss 4, p 233 (2024)
This study introduces Protectbot, an innovative chatbot framework designed to improve safety in children’s online gaming environments. At its core, Protectbot incorporates DialoGPT, a conversational Artificial Intelligence (AI) model rooted in Gene
Externí odkaz:
https://doaj.org/article/c01a7b1df39d4434a7ac30233f73f41f
Autor:
Tamim Mahmud Al-Hasan, Aya Nabil Sayed, Faycal Bensaali, Yassine Himeur, Iraklis Varlamis, George Dimitrakopoulos
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 4, p 36 (2024)
Recommender systems are a key technology for many applications, such as e-commerce, streaming media, and social media. Traditional recommender systems rely on collaborative filtering or content-based filtering to make recommendations. However, these
Externí odkaz:
https://doaj.org/article/e02ea8a238ee4d998499d61270fc3a18