Results 241 to 250 of about 34,912 (272)

Divergent patterns of probabilistic reasoning in humans and GPT-5. [PDF]

Front Psychol
Imannezhad P, Pothos EM, Wills AJ.
europepmc   +1 more source

Large language models for simplifying radiology reports: a systematic review and meta-analysis of patient, public, and clinician evaluations.

Lancet Digit Health
Alabed S, Anderson A, Maiter A, Hughes A, McAnenly N, Salehi M, Sharkey M, Dwivedi K, Hokmabadi A, Alahdab F, Stevenson M, Ma N, Gaizauskas R, Chico TJ, Swift AJ, Li JJ, Kleesiek J, Langlotz C.   +17 more
europepmc   +1 more source

AI-Driven Objective Structured Clinical Examination Generation in Digital Health Education: Comparative Analysis of Three GPT-4o Configurations.

JMIR Med Educ
Zouakia Z, Logak E, Szymczak A, Jais JP, Burgun A, Tsopra R.   +5 more
europepmc   +1 more source

Dear GPT-3: Collaborative Writing with Neural Networks

openaire   +1 more source

Is GPT-3 a Good Data Annotator? [PDF]

Annual Meeting of the Association for Computational Linguistics, 2022
GPT-3 (Generative Pre-trained Transformer 3) is a large-scale autoregressive language model developed by OpenAI, which has demonstrated impressive few-shot performance on a wide range of natural language processing (NLP) tasks. Hence, an intuitive application is to use it for data annotation. In this paper, we investigate whether GPT-3 can be used as a
Ding, Bosheng, Qin, Chengwei, Liu, Linlin, Bing, Lidong, Joty, Shafiq, Li, Boyang   +5 more
openaire   +2 more sources

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SAGA: Collaborative Storytelling with GPT-3

Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing, 2021
When friends live across different time zones, have incompatible work schedules, or have different levels of access to technology, synchronous communication becomes infeasible. To address this challenge, we developed a web application that allows friends to asynchronously collaborate creatively.
Hanieh Shakeri, Carman Neustaedter, Steve DiPaola   +2 more
openaire   +1 more source

PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3

IEEE International Conference on Computer Vision, 2023
Knowledge-based visual question answering (VQA) involves questions that require world knowledge beyond the image to yield the correct answer. Large language models (LMs) like GPT-3 are particularly helpful for this task because of their strong knowledge ...
Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo   +5 more
semanticscholar   +1 more source

BERT, GPT-3, Timnit Gebru et nous

Sociologie et sociétés, 2023
Le déploiement aujourd’hui de modèles sémantiques automatisés tels le BERT de Google ou le GPT-3 d’OpenAI se montre comme un remarquable défi pour l’inscription de l’herméneutique au coeur même du projet des sciences sociales. L’intelligence artificielle est bel et bien à la conquête du langage. Cela implique d’abord qu’il faille prendre au sérieux les
Roberge, Jonathan, LeBrun, Tom
openaire   +3 more sources

Investigating the Potential of GPT-3 in Providing Feedback for Programming Assessments

Annual Conference on Innovation and Technology in Computer Science Education, 2023
Recent advances in artificial intelligence have led to the development of large language models (LLMs), which are able to generate text, images, and source code based on prompts provided by humans.
Rishabh Balse, Bharath Valaboju, Shreya Singhal, J. Warriem, Prajish Prasad   +4 more
semanticscholar   +1 more source