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ChatGPT, the most accessible generative artificial intelligence (AI) tool, offers considerable potential for veterinary medicine, yet a dedicated review of its specific applications is lacking. This review concisely synthesizes the latest…

计算机与社会 · 计算机科学 2024-05-24 Candice P. Chu

The utility and power of Natural Language Processing (NLP) seems destined to change our technological society in profound and fundamental ways. However there are, to date, few accessible descriptions of the science of NLP that have been…

计算与语言 · 计算机科学 2012-09-28 Kevin Mote

Background: The integration of artificial intelligence (AI) into daily life, particularly through chatbots utilizing natural language processing (NLP), presents both revolutionary potential and unique challenges. This intended to…

计算与语言 · 计算机科学 2024-04-16 Gian Alexandre Michaelsen , Renato P. dos Santos

Generative pre-trained models have demonstrated remarkable effectiveness in language and vision domains by learning useful representations. In this paper, we extend the scope of this effectiveness by showing that visual robot manipulation…

机器人学 · 计算机科学 2023-12-22 Hongtao Wu , Ya Jing , Chilam Cheang , Guangzeng Chen , Jiafeng Xu , Xinghang Li , Minghuan Liu , Hang Li , Tao Kong

The advancement of the Natural Language Processing field has enabled the development of language models with a great capacity for generating text. In recent years, Neuroscience has been using these models to better understand cognitive…

神经元与认知 · 定量生物学 2024-10-01 Bruno Bianchi , Alfredo Umfurer , Juan Esteban Kamienkowski

This work demonstrates that natural language transformers can support more generic strategic modeling, particularly for text-archived games. In addition to learning natural language skills, the abstract transformer architecture can generate…

人工智能 · 计算机科学 2020-09-21 David Noever , Matt Ciolino , Josh Kalin

Generating novel and useful concepts is essential during the early design stage to explore a large variety of design opportunities, which usually requires advanced design thinking ability and a wide range of knowledge from designers.…

计算与语言 · 计算机科学 2022-11-08 Qihao Zhu , Jianxi Luo

Graph Transformers (GTs) have demonstrated a strong capability in modeling graph structures by addressing the intrinsic limitations of graph neural networks (GNNs), such as over-smoothing and over-squashing. Recent studies have proposed…

In this paper, we design and train a Generative Image-to-text Transformer, GIT, to unify vision-language tasks such as image/video captioning and question answering. While generative models provide a consistent network architecture between…

计算机视觉与模式识别 · 计算机科学 2022-12-19 Jianfeng Wang , Zhengyuan Yang , Xiaowei Hu , Linjie Li , Kevin Lin , Zhe Gan , Zicheng Liu , Ce Liu , Lijuan Wang

Multimodal GPTs represent a watershed in the interplay between Software Engineering and Generative Artificial Intelligence. GPT-4 accepts image and text inputs, rather than simply natural language. We investigate relevant use cases stemming…

软件工程 · 计算机科学 2025-08-21 Roberto Rossi

In recent years, advancements in natural language processing (NLP) have been fueled by deep learning techniques, particularly through the utilization of powerful computing resources like GPUs and TPUs. Models such as BERT and GPT-3, trained…

计算与语言 · 计算机科学 2024-02-27 Shuning Huo , Yafei Xiang , Hanyi Yu , Mengran Zhu , Yulu Gong

GPT series models, such as GPT-3, CodeX, InstructGPT, ChatGPT, and so on, have gained considerable attention due to their exceptional natural language processing capabilities. However, despite the abundance of research on the difference in…

Tasks related to Natural Language Processing (NLP) have recently been the focus of a large research endeavor by the machine learning community. The increased interest in this area is mainly due to the success of deep learning methods.…

计算与语言 · 计算机科学 2020-04-30 Luca Manzoni , Domagoj Jakobovic , Luca Mariot , Stjepan Picek , Mauro Castelli

ChatGPT, as a language model based on large-scale pre-training, has exerted a profound influence on the domain of machine translation. In ChatGPT, a "Prompt" refers to a segment of text or instruction employed to steer the model towards…

计算与语言 · 计算机科学 2024-06-05 Hui Jiao , Bei Peng , Lu Zong , Xiaojun Zhang , Xinwei Li

This research article explores the potential of Artificial Intelligence (AI) and Chat Generative Pre-trained Transformers (ChatGPT) in revolutionizing the landscape of parental support and child care. With the advancement of generative AI,…

人机交互 · 计算机科学 2024-07-16 Mohsena Ashraf

Vision language tasks, such as answering questions about or generating captions that describe an image, are difficult tasks for computers to perform. A relatively recent body of research has adapted the pretrained transformer architecture…

计算机视觉与模式识别 · 计算机科学 2023-07-10 Clayton Fields , Casey Kennington

In recent times, Transformer-based language models are making quite an impact in the field of natural language processing. As relevant parallels can be drawn between biological sequences and natural languages, the models used in NLP can be…

计算与语言 · 计算机科学 2025-12-25 Nimisha Ghosh , Daniele Santoni , Indrajit Saha , Giovanni Felici

As a pivotal extension of the renowned ChatGPT, the GPT Store serves as a dynamic marketplace for various Generative Pre-trained Transformer (GPT) models, shaping the frontier of conversational AI. This paper presents an in-depth…

机器学习 · 计算机科学 2024-05-17 Dongxun Su , Yanjie Zhao , Xinyi Hou , Shenao Wang , Haoyu Wang

This paper studies recent developments in large language models' (LLM) abilities to pass assessments in introductory and intermediate Python programming courses at the postsecondary level. The emergence of ChatGPT resulted in heated debates…

计算机与社会 · 计算机科学 2023-10-05 Jaromir Savelka , Arav Agarwal , Marshall An , Chris Bogart , Majd Sakr

Natural language processing (NLP) is a key component of intelligent transportation systems (ITS), but it faces many challenges in the transportation domain, such as domain-specific knowledge and data, and multi-modal inputs and outputs.…

计算与语言 · 计算机科学 2024-02-13 Peng Wang , Xiang Wei , Fangxu Hu , Wenjuan Han