Results 11 to 20 of about 98,573 (298)
, 2023 As the echoes of ChatGPT’s remarkable success continue to permeate the AI community, its formidable successor, GPT-4, has emerged, showing off a wealth of novel features. In this concise paper, we elucidate the capabilities of GPT-4 and conduct a comparative analysis with its predecessor, ChatGPT, offering insights into their relative strengths and ...
Anis Koubaa (14807962)
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Scientific ReportsThis 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 +4 more sources
Sim-GPT: Text Similarity via GPT Annotated Data [PDF]
CoRR, 2023 Due to the lack of a large collection of high-quality labeled sentence pairs with textual similarity scores, existing approaches for Semantic Textual Similarity (STS) mostly rely on unsupervised techniques or training signals that are only partially correlated with textual similarity, e.g., NLI-based datasets.
Shuhe Wang +7 more
openaire +3 more sources
Prompt engineering of GPT-4 for chemical research: what can/cannot be done? [PDF]
Science and Technology of Advanced Materials: Methods, 2023 This paper evaluates the capabilities and limitations of the Generative Pre-trained Transformer 4 (GPT-4) in chemical research. Although GPT-4 exhibits remarkable proficiencies, it is evident that the quality of input data significantly affects its ...
Kan Hatakeyama-Sato +4 more
doaj +2 more sources
AI OpenPrompting 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 +5 more sources
A Comparative Analysis of GPT-3.5, GPT-4 and GPT-4.o in Heart Failure
Uludağ Üniversitesi Tıp Fakültesi DergisiDigitalization have increasingly penetrated in healthcare. Generative artificial intelligence (AI) is a type of AI technology that can generate new content. Patients can use AI-powered chatbots to get medical information. Heart failure is a syndrome with high morbidity and mortality. Patients search about heart failure in many web sites commonly.
Şeyda Günay-polatkan +1 more
openaire +2 more sources
Optimizing Natural Language Processing: A Comparative Analysis of GPT-3.5, GPT-4, and GPT-4o [PDF]
Data and MetadataIn the last decade, the advancement of artificial intelligence has transformed multiple sectors, with natural language processing standing out as one of the most dynamic and promising areas. This study focused on comparing the GPT-3.5, GPT-4 and GPT-4o language models, evaluating their efficiency and performance in Natural Language Processing tasks ...
Manuel Ayala-Chauvin +1 more
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Saudi Dental JournalBackground 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.
Masaki Morishita +8 more
doaj +2 more sources
RefGPT: Dialogue Generation of GPT, by GPT, and for GPT
Findings 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
GPT-Driver: Learning to Drive with GPT
CoRR, 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