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GPT understands, too

open access: yesAI Open
Prompting a pretrained language model with natural language patterns has been proved effective for natural language understanding (NLU). However, our preliminary study reveals that manual discrete prompts often lead to unstable performance—e.g., changing
Xiao Liu   +6 more
doaj   +3 more sources

Custom GPTs Enhancing Performance and Evidence Compared with GPT-3.5, GPT-4, and GPT-4o? A Study on the Emergency Medicine Specialist Examination

open access: yesHealthcare (Switzerland)
Given the widespread application of ChatGPT, we aim to evaluate its proficiency in the emergency medicine specialty written examination. Additionally, we compare the performance of GPT-3.5, GPT-4, GPTs, and GPT-4o. The research seeks to ascertain whether custom GPTs possess the essential capabilities and access to knowledge bases necessary for ...
Tzu-Chi Wu
exaly   +3 more sources

An exploratory assessment of GPT-4o and GPT-4 performance on the Japanese National Dental Examination

open access: yesSaudi Dental Journal
Background and Objectives: Multiple large language models (LLMs) have been released since 2022, including OpenAI’s GPT-3.5 and GPT-4. The latest model, GPT-4o, introduced on May 13, 2024, significantly improves GPT-4.
Shuji Awano   +2 more
exaly   +3 more sources

Computational literature – creation under the auspices of AI and GPT models [PDF]

open access: yesDialogica: Revistă de Studii Culturale și Literatură, 2023
In this article is presented the impact of GPT natural language processing models and the evolution of AI on the computational literature. Analyzing the structuring and functioning of these neural networks based on observation, learning (pre-training ...
Rodica Gotca
doaj   +1 more source

Evaluating the performance of GPT-3.5, GPT-4, and GPT-4o in the Chinese National Medical Licensing Examination

open access: yesScientific Reports
This study aims to compare and evaluate the performance of GPT-3.5, GPT-4, and GPT-4o in the 2020 and 2021 Chinese National Medical Licensing Examination (NMLE), exploring their potential value in medical education and clinical applications.
Dingyuan Luo   +9 more
doaj   +3 more sources

Study of thyroid hormones effect on biochemical parameters of liver function in Iraqi patients [PDF]

open access: yesCellular, Molecular and Biomedical Reports, 2023
This study was aimed to study the effect of thyroid hormones on some biochemical tests of liver function in Iraqi male patients and to study the relationship between them.
Huda Jaafer   +2 more
doaj   +1 more source

Renewable Hydrogen Production by Aqueous Phase Reforming of Pure/Refined Crude Glycerol over Ni/Al-Ca Catalysts

open access: yesMolecules, 2023
Renewable hydrogen production by aqueous phase reforming (APR) over Ni/Al-Ca catalysts was studied using pure or refined crude glycerol as feedstock. The APR was carried out in a fixed bed reactor at 238 °C, 37 absolute bar for 3 h, using a solution of 5
Raquel Raso   +5 more
doaj   +1 more source

RefGPT: Dialogue Generation of GPT, by GPT, and for GPT

open access: yesFindings of the Association for Computational Linguistics: EMNLP 2023, 2023
Large Language Models (LLMs) have attained the impressive capability to resolve a wide range of NLP tasks by fine-tuning high-quality instruction data. However, collecting human-written data of high quality, especially multi-turn dialogues, is expensive and unattainable for most people.
Dongjie Yang   +6 more
openaire   +2 more sources

The Effects of Turmeric Intake Alone or in Combination with Resistance Training on Liver Enzymes in Adult Men [PDF]

open access: yes운동과학, 2021
s PURPOSE This study aimed to investigate the effect of turmeric intake alone or in combination with resistance training on liver enzymes in adult men who regularly consumed alcohol at least twice a week. METHODS Twelve men (age: 36.0±5.26 years, weight:
Seung-Joon Paek   +4 more
doaj   +1 more source

GPT-Driver: Learning to Drive with GPT

open access: yesCoRR, 2023
We present a simple yet effective approach that can transform the OpenAI GPT-3.5 model into a reliable motion planner for autonomous vehicles. Motion planning is a core challenge in autonomous driving, aiming to plan a driving trajectory that is safe and comfortable.
Mao, Jiageng   +4 more
openaire   +2 more sources

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