Results 71 to 80 of about 98,573 (298)

Comparative performance of humans versus GPT-4.0 and GPT-3.5 in the self-assessment program of American Academy of Ophthalmology

Scientific Reports, 2023
To compare the performance of humans, GPT-4.0 and GPT-3.5 in answering multiple-choice questions from the American Academy of Ophthalmology (AAO) Basic and Clinical Science Course (BCSC) self-assessment program, available at https://www.aao.org/education/
Andrea Taloni, Massimiliano Borselli, Valentina Scarsi, Costanza Rossi, Giulia Coco, Vincenzo Scorcia, Giuseppe Giannaccare   +6 more
doaj   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Generative artificial intelligence in graduate medical education

Frontiers in Medicine
Generative artificial intelligence (GenAI) is rapidly transforming various sectors, including healthcare and education. This paper explores the potential opportunities and risks of GenAI in graduate medical education (GME).
Ravi Janumpally, Suparna Nanua, Andy Ngo, Kenneth Youens   +3 more
doaj   +1 more source

GPT-PPG: a GPT-based foundation model for photoplethysmography signals

Physiological Measurement
Abstract Objective . This study aims to introduce a novel generative pre-trained transformer (GPT)-based foundation model specifically tailored to photoplethysmography (PPG) signals, enabling effective adaptation to various downstream biomedical tasks. Approach
Zhaoliang Chen, Cheng Ding, Saurabh Kataria, Runze Yan, Minxiao Wang, Randall Lee, Xiao Hu   +6 more
openaire   +4 more sources

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Key Features of GPT Learning Paradigm [PDF]

Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics
The continuous advancement of technology has always sparked debates, much like earlier shifts in history. From the introduction of computers in the mid-20th century to the rise of the internet in the 2000s, each innovation has brought both excitement and
Madalina Pana
doaj   +1 more source

GPT-4 compares favourably with LLMs and doctors.

Results of pair-wise comparisons of examination performance between GPT-4 and the other answer providers. Significantly greater performance for GPT-4 is highlighted green, significantly inferior performance for GPT-4 is highlighted orange.
Yu Jeat Chong (8354871), Darren Shu Jeng Ting (11531845), Saaeha Rauz (552599), Daniel Shu Wei Ting (12684902), Shathar Mahmood (18397181), Benjamin Kye Jyn Tan (9946519), Ting Fang Tan (16825482), Andrew Malem (18397184), Shiao Wei Wong (18397193), Rohan Sanghera (16381356), Yin-Hsi Chang (12426978), Sean Zhou (18397190), Yee Ling Wong (14519339), Refaat Hassan (16381353), William Paul Foster (18397187), Nikhil Jain (645836), Arun James Thirunavukarasu (16425901), Abdullah Shakeel (18397196)   +17 more
core   +1 more source

GPT-3-Powered Type Error Debugging: Investigating the Use of Large Language Models for Code Repair (SLE 2023)

, 2023
This repository contains a tool called Mentat that analyzes OCaml programs and automatically fixes type errors by using GPT-3. It also contains the necessary resources and instructions to replicate the experiments conducted to validate our technique and ...
Francisco Ribeiro (8375145), José Macedo (14282862), Rui Abreu (6268632), Kanae Tsushima (14282869), João Saraiva (8375357)   +4 more
core   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source