Results 131 to 140 of about 52,931 (300)

Considering the possibilities and pitfalls of Generative Pre-trained Transformer 3 (GPT-3) in healthcare delivery. [PDF]

NPJ Digit Med, 2021
Korngiebel DM, Mooney SD.
europepmc   +1 more source

Sentiment spin: Attacking financial sentiment with GPT-3

Finance Research Letters, 2023
openaire   +2 more sources

Exploring The Design of Prompts For Applying GPT-3 based Chatbots: A Mental Wellbeing Case Study on Mechanical Turk

, 2022
Large-Language Models like GPT-3 have the potential to enable HCI designers and researchers to create more human-like and helpful chatbots for specific applications. But evaluating the feasibility of these chatbots and designing prompts that optimize GPT-
Choy, Kwan Kiu, Gross, Ofek, Kulzhabayeva, Dana, Kumar, Harsh, Lauzon, Adele, Musabirov, Ilya, Shi, Jiakai, Williams, Joseph Jay   +7 more
core  

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning

, 2023
Large language models excel at a variety of language tasks when prompted with examples or instructions. Yet controlling these models through prompting alone is limited.
Ammanabrolu, Prithviraj, Brahman, Faeze, Chandu, Khyathi, Choi, Yejin, Dziri, Nouha, Fisher, Jillian, Hallinan, Skyler, Jang, Jaehun, Jiang, Liwei, Lin, Bill Yuchen, Lu, Ximing, Qin, Lianhui, Ramnath, Sahana, Ravichander, Abhilasha, Ren, Xiang, Welleck, Sean, West, Peter   +16 more
core  

Farmers’ Protests in Germany: Media Coverage and Types of Bias

Agribusiness, EarlyView.
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley   +1 more source

Is Precision Agriculture Technology Adoption Persistently Overestimated?

Agribusiness, EarlyView.
ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone, Chad Fiechter, Zanliang Meng, James Lowenberg‐DeBoer, Bruce Erickson, Jay Akridge   +5 more
wiley   +1 more source

Performance of ChatGPT and Bard on the medical licensing examinations varies across different cultures: a comparison study

BMC Medical Education
Background This study aimed to evaluate the performance of GPT-3.5, GPT-4, GPT-4o and Google Bard on the United States Medical Licensing Examination (USMLE), the Professional and Linguistic Assessments Board (PLAB), the Hong Kong Medical Licensing ...
Yikai Chen, Xiujie Huang, Fangjie Yang, Haiming Lin, Haoyu Lin, Zhuoqun Zheng, Qifeng Liang, Jinhai Zhang, Xinxin Li   +8 more
doaj   +1 more source

Performance of ChatGPT in Ophthalmic Registration and Clinical Diagnosis: Cross-Sectional Study

Journal of Medical Internet Research
BackgroundArtificial intelligence (AI) chatbots such as ChatGPT are expected to impact vision health care significantly. Their potential to optimize the consultation process and diagnostic capabilities across range of ophthalmic ...
Shuai Ming, Xi Yao, Xiaohong Guo, Qingge Guo, Kunpeng Xie, Dandan Chen, Bo Lei   +6 more
doaj   +1 more source

Long-Term Growth Driven by a Sequence of General Purpose Technologies [PDF]

We present a Schumpterian model of endogenous growth with General Purpose Technologies (GPTs) that captures two important historical stylized facts: First, from the beginning of mankind until today GPTs are arriving at an increasing frequency and, second,
Daniel Schiess, Roger Wehrli
core