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相关论文: Phoenix: Democratizing ChatGPT across Languages

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In the era of generative AI and specifically large language models (LLMs), exemplified by ChatGPT, the intersection of artificial intelligence and human reasoning has become a focal point of global attention. Unlike conventional search…

计算机与社会 · 计算机科学 2023-11-13 Niina Zuber , Jan Gogoll

ChatGPT is attracting a cross-field interest as it provides a language interface with remarkable conversational competency and reasoning capabilities across many domains. However, since ChatGPT is trained with languages, it is currently not…

计算机视觉与模式识别 · 计算机科学 2023-03-09 Chenfei Wu , Shengming Yin , Weizhen Qi , Xiaodong Wang , Zecheng Tang , Nan Duan

Empathetic dialogue is an indispensable part of building harmonious social relationships and contributes to the development of a helpful AI. Previous approaches are mainly based on fine small-scale language models. With the advent of…

计算与语言 · 计算机科学 2024-07-29 Yushan Qian , Wei-Nan Zhang , Ting Liu

This research explores the integration of chatbot technology powered by GPT-3.5 and GPT-4 Turbo into higher education to enhance internationalization and leverage digital transformation. It delves into the design, implementation, and…

计算机与社会 · 计算机科学 2024-03-25 Achraf Hsain , Hamza El Housni

The rise in popularity of ChatGPT and GPT-4 has significantly accelerated the development of large models, leading to the creation of numerous impressive large language models(LLMs) and multimodal large language models (MLLMs). These…

计算与语言 · 计算机科学 2023-09-18 Conghui He , Zhenjiang Jin , Chao Xu , Jiantao Qiu , Bin Wang , Wei Li , Hang Yan , Jiaqi Wang , Dahua Lin

We release and introduce the TigerBot family of large language models (LLMs), consisting of base and chat models, sized from 7, 13, 70 and 180 billion parameters. We develop our models embarking from Llama-2 and BLOOM, and push the boundary…

计算与语言 · 计算机科学 2023-12-18 Ye Chen , Wei Cai , Liangmin Wu , Xiaowei Li , Zhanxuan Xin , Cong Fu

Large Language Models (LLMs) are advanced Artificial Intelligence (AI) systems that have undergone extensive training using large datasets in order to understand and produce language that closely resembles that of humans. These models have…

软件工程 · 计算机科学 2023-08-10 Alessio Buscemi

While current dialogue systems like ChatGPT have made significant advancements in text-based interactions, they often overlook the potential of other modalities in enhancing the overall user experience. We present FaceChat, a web-based…

计算与语言 · 计算机科学 2023-03-14 Deema Alnuhait , Qingyang Wu , Zhou Yu

This paper presents the OPUS ecosystem with a focus on the development of open machine translation models and tools, and their integration into end-user applications, development platforms and professional workflows. We discuss our on-going…

In this paper, we present HuatuoGPT, a large language model (LLM) for medical consultation. The core recipe of HuatuoGPT is to leverage both \textit{distilled data from ChatGPT} and \textit{real-world data from doctors} in the supervised…

Interest in Large Language Models (LLMs) has increased drastically since the emergence of ChatGPT and the outstanding positive societal response to the ease with which it performs tasks in Natural Language Processing (NLP). The triumph of…

计算与语言 · 计算机科学 2023-04-06 Oluwatosin Ogundare , Gustavo Quiros Araya

Large Language Models (LLMs) have gained significant attention in the software engineering community. Nowadays developers have the possibility to exploit these models through industrial-grade tools providing a handy interface toward LLMs,…

We present an overview of the complex systems field using ChatGPT as a representation of the community's understanding. ChatGPT has learned language patterns and styles from a large dataset of internet texts, allowing it to provide answers…

物理与社会 · 物理学 2023-04-12 Nuno Crokidakis , Marcio Argollo de Menezes , Daniel O. Cajueiro

Large language models (LLMs) have recently achieved human-level performance on a range of professional and academic benchmarks. The accessibility of these models has lagged behind their performance. State-of-the-art LLMs require costly…

The release of ChatGPT in late 2022 caused a flurry of activity and concern in the academic and educational communities. Some see the tool's ability to generate human-like text that passes at least cursory inspections for factual accuracy…

计算机与社会 · 计算机科学 2025-04-18 Leo Leppänen , Lili Aunimo , Arto Hellas , Jukka K. Nurminen , Linda Mannila

Large language models, e.g. ChatGPT are currently contributing enormously to make artificial intelligence even more popular, especially among the general population. However, such chatbot models were developed as tools to support natural…

人工智能 · 计算机科学 2025-02-07 Jianlong Zhou , Heimo Müller , Andreas Holzinger , Fang Chen

The rapid advancements in Large Language Models (LLMs) have revolutionized natural language processing, with GPTs, customized versions of ChatGPT available on the GPT Store, emerging as a prominent technology for specific domains and tasks.…

软件工程 · 计算机科学 2024-05-27 Xinyi Hou , Yanjie Zhao , Shenao Wang , Haoyu Wang

Dialogue-based language models mark a huge milestone in the field of artificial intelligence, by their impressive ability to interact with users, as well as a series of challenging tasks prompted by customized instructions. However, the…

人工智能 · 计算机科学 2023-04-26 Rui Hao , Linmei Hu , Weijian Qi , Qingliu Wu , Yirui Zhang , Liqiang Nie

We evaluated the performance of OpenFOAMGPT incorporating multiple large-language models. Some of the present models efficiently manage different CFD tasks such as adjusting boundary conditions, turbulence models, and solver configurations,…

计算与语言 · 计算机科学 2025-09-23 Wenkang Wang , Ran Xu , Jingsen Feng , Qingfu Zhang , Xu Chu

Fine-tuning on instruction data has been widely validated as an effective practice for implementing chat language models like ChatGPT. Scaling the diversity and quality of such data, although straightforward, stands a great chance of…

计算与语言 · 计算机科学 2023-05-24 Ning Ding , Yulin Chen , Bokai Xu , Yujia Qin , Zhi Zheng , Shengding Hu , Zhiyuan Liu , Maosong Sun , Bowen Zhou