[HTML][HTML] Summary of chatgpt-related research and perspective towards the future of large language models

Y Liu, T Han, S Ma, J Zhang, Y Yang, J Tian, H He, A Li… - Meta-Radiology, 2023 - Elsevier
This paper presents a comprehensive survey of ChatGPT-related (GPT-3.5 and GPT-4)
research, state-of-the-art large language models (LLM) from the GPT series, and their …

Challenges and applications of large language models

J Kaddour, J Harris, M Mozes, H Bradley… - arxiv preprint arxiv …, 2023 - arxiv.org
Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …

Harnessing the power of llms in practice: A survey on chatgpt and beyond

J Yang, H **, R Tang, X Han, Q Feng, H Jiang… - ACM Transactions on …, 2024 - dl.acm.org
This article presents a comprehensive and practical guide for practitioners and end-users
working with Large Language Models (LLMs) in their downstream Natural Language …

ChatGPT for education and research: Opportunities, threats, and strategies

MM Rahman, Y Watanobe - Applied Sciences, 2023 - mdpi.com
In recent years, the rise of advanced artificial intelligence technologies has had a profound
impact on many fields, including education and research. One such technology is ChatGPT …

[HTML][HTML] Unlocking the opportunities through ChatGPT Tool towards ameliorating the education system

M Javaid, A Haleem, RP Singh, S Khan… - BenchCouncil …, 2023 - Elsevier
Abstract Artificial Intelligence (AI)-based ChatGPT developed by OpenAI is now widely
accepted in several fields, including education. Students can learn about ideas and theories …

Is chatgpt a good recommender? a preliminary study

J Liu, C Liu, P Zhou, R Lv, K Zhou, Y Zhang - arxiv preprint arxiv …, 2023 - arxiv.org
Recommendation systems have witnessed significant advancements and have been widely
used over the past decades. However, most traditional recommendation methods are task …

Evaluating large language models on a highly-specialized topic, radiation oncology physics

J Holmes, Z Liu, L Zhang, Y Ding, TT Sio… - Frontiers in …, 2023 - frontiersin.org
Purpose We present the first study to investigate Large Language Models (LLMs) in
answering radiation oncology physics questions. Because popular exams like AP Physics …

Large ai models in health informatics: Applications, challenges, and the future

J Qiu, L Li, J Sun, J Peng, P Shi… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Large AI models, or foundation models, are models recently emerging with massive scales
both parameter-wise and data-wise, the magnitudes of which can reach beyond billions …

Data augmentation using llms: Data perspectives, learning paradigms and challenges

B Ding, C Qin, R Zhao, T Luo, X Li… - Findings of the …, 2024 - aclanthology.org
In the rapidly evolving field of large language models (LLMs), data augmentation (DA) has
emerged as a pivotal technique for enhancing model performance by diversifying training …

Prompt engineering for healthcare: Methodologies and applications

J Wang, E Shi, S Yu, Z Wu, C Ma, H Dai, Q Yang… - arxiv preprint arxiv …, 2023 - arxiv.org
Prompt engineering is a critical technique in the field of natural language processing that
involves designing and optimizing the prompts used to input information into models, aiming …