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As large language models (LLMs) like OpenAI's GPT series continue to make strides, we witness the emergence of artificial intelligence applications in an ever-expanding range of fields. In medicine, these LLMs hold considerable promise for…

This research investigates the potential of Artificial Intelligence (AI) models to bridge the knowledge gap in environmental education among university students. By focusing on prominent large language models (LLMs) such as GPT-3.5, GPT-4,…

人工智能 · 计算机科学 2025-08-06 Linda Smail , David Santandreu Calonge , Firuz Kamalov , Nur H. Orak

In recent years, Large Language Models (LLMs) have emerged as a transformative development in artificial intelligence (AI), drawing significant attention from industry and academia. Trained on vast datasets, these sophisticated AI systems…

人工智能 · 计算机科学 2025-01-15 Oudom Hean , Utsha Saha , Binita Saha

Big Language Models (LLMs) are changing the way businesses use software, the way people live their lives and the way industries work. Companies like Google, High-Flyer, Anthropic, OpenAI and Meta are making better LLMs. So, it's crucial to…

人工智能 · 计算机科学 2025-10-28 Urja Kohli , Aditi Singh , Arun Sharma

The past few decades have witnessed an upsurge in data, forming the foundation for data-hungry, learning-based AI technology. Conversational agents, often referred to as AI chatbots, rely heavily on such data to train large language models…

计算与语言 · 计算机科学 2024-11-19 Sumit Kumar Dam , Choong Seon Hong , Yu Qiao , Chaoning Zhang

LLMs operating in dynamic real-world contexts often encounter knowledge that evolves continuously or emerges incrementally. To remain accurate and effective, models must adapt to newly arriving information on the fly. We introduce Online…

计算与语言 · 计算机科学 2026-03-10 Jiyeon Kim , Hyunji Lee , Dylan Zhou , Sue Hyun Park , Seunghyun Yoon , Trung Bui , Franck Dernoncourt , Sungmin Cha , Minjoon Seo

Large Language Models (LLMs) are transforming AI across industries, but their development and deployment remain complex. This survey reviews 16 key challenges in building and using LLMs and examines how these challenges are addressed by two…

计算与语言 · 计算机科学 2025-09-01 Shubham Sharma , Sneha Tuli , Narendra Badam

Employees often struggle to identify ``who knows what,'' leading to organizational productivity losses. We investigate whether Large Language Models (LLMs) can infer individual domain knowledge directly from long-term Slack logs. Analyzing…

计算与语言 · 计算机科学 2026-05-25 Ko Watanabe , Shoya Ishimaru

Healthcare systems around the world are grappling with issues like inefficient diagnostics, rising costs, and limited access to specialists. These problems often lead to delays in treatment and poor health outcomes. Most current AI and deep…

人工智能 · 计算机科学 2025-12-22 Maliha Tabassum , M Shamim Kaiser

Natural language understanding is one of the most challenging topics in artificial intelligence. Deep neural network methods, particularly large language module (LLM) methods such as ChatGPT and GPT-3, have powerful flexibility to adopt…

计算与语言 · 计算机科学 2023-04-24 Xiaolin Hu

The recent success of Large Language Models (LLMs) has sparked concerns about their potential to spread misinformation. As a result, there is a pressing need for tools to identify ``fake arguments'' generated by such models. To create these…

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

Artificial intelligence is making spectacular progress, and one of the best examples is the development of large language models (LLMs) such as OpenAI's GPT series. In these lectures, written for readers with a background in mathematics or…

计算与语言 · 计算机科学 2023-10-09 Michael R. Douglas

The field of Artificial Intelligence (AI) continues to drive transformative innovations, with significant progress in conversational interfaces, autonomous vehicles, and intelligent content creation. Since the launch of ChatGPT in late…

计算与语言 · 计算机科学 2025-01-13 Hussain Ahmad , Diksha Goel

Generative AI, especially through large language models (LLMs), is transforming how technical knowledge can be accessed, reused, and extended. PETSc, a widely used numerical library for high-performance scientific computing, has accumulated…

The utilization of conversational AI systems by leveraging Retrieval Augmented Generation (RAG) techniques to solve customer problems has been on the rise with the rapid progress of Large Language Models (LLMs). However, the absence of a…

计算与语言 · 计算机科学 2025-10-10 Md Tahmid Rahman Laskar , Julien Bouvier Tremblay , Xue-Yong Fu , Cheng Chen , Shashi Bhushan TN

The startling success of ChatGPT and other large language models (LLMs) using transformer-based generative neural network architecture in applications such as natural language processing and image synthesis has many researchers excited…

人工智能 · 计算机科学 2024-11-05 Venkat Venkatasubramanian , Arijit Chakraborty

Large Language Models (LLMs) serve as repositories of extensive world knowledge, enabling them to perform tasks such as question-answering and fact-checking. However, this knowledge can become obsolete as global contexts change. In this…

计算与语言 · 计算机科学 2023-11-17 Yuhao Wu , Tongjun Shi , Karthick Sharma , Chun Wei Seah , Shuhao Zhang

Large language models (LLMs) have emerged as powerful tools in natural language processing (NLP), showing a promising future of artificial generated intelligence (AGI). Despite their notable performance in the general domain, LLMs have…

计算与语言 · 计算机科学 2025-01-23 Jingyuan Chen , Tao Wu , Wei Ji , Fei Wu

In this work a Large Language Model (LLM) based workflow is presented that utilizes OpenAI ChatGPT model GPT-3.5-turbo-1106 and Google Gemini Pro model to create summary of text, data and images from research articles. It is demonstrated…

数字图书馆 · 计算机科学 2024-02-20 Deepak Prasad , Mayur Pimpude , Alankar Alankar
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