Local large language model‐guided optimization for prostate radiotherapy planning
Abstract Background Radiotherapy planning is time‐intensive, iterative, and operator‐dependent. Locally deployed large language‐model agents may support planning automation while avoiding transmission of patient data to external model providers.
Humza Nusrat +10 more
wiley +1 more source
LAUREA MAGISTRALEQuesta tesi esamina come migliorare il reperimento delle informazioni aziendali utilizzando l’analisi della sensibilità nelle applicazioni di Retrieval-Augmented Generation (RAG).
MARRONE, TIZIANO
core
RAP-RAG: A Retrieval-Augmented Generation Framework with Adaptive Retrieval Task Planning
The Retrieval-Augmented Generation (RAG) framework shows great potential in terms of improving the reasoning and knowledge utilization capabilities of language models.
Luo Xu +5 more
core +1 more source
Retrieval Augmented Generation (RAG) for Evaluating Regulatory Compliance of Drug Information and Clinical Trial Protocols. [PDF]
Waikar S, Bhat AG, Ramanathan M.
europepmc +1 more source
ABSTRACT As Large Language Models (LLMs) are increasingly deployed within the systems engineering domain, optimizing these models to balance performance accuracy and cost for given computational resources becomes essential. One process for finding the right balance is quantization, a process that involves converting model parameters from higher ...
Ryan Bell +2 more
wiley +1 more source
Retrieval Augmented Generation (RAG) in Physics and Astronomy Instruction
This research project explored instructor assistance in the instruction of astronomy and physics courses using retrieval-augmented generation (RAG). The following paper has been published as the result of this work: Approach to Physics Education Using ...
Beznosko, Dmitriy, Krivosheev, Tatiana
core
Exploring Patient Perspectives, Engagement, and Output Quality in Doctor-Supervised Use of Artificial Intelligence During Informed Consent Consultation With ChatGPT and Retrieval Augmented Generation (RAG): Quantitative Exploratory Study. [PDF]
Donner S +6 more
europepmc +1 more source
Interferometric Synthetic Aperture Radar (InSAR) for Monitoring Seasonal Snow
Abstract Interferometric Synthetic Aperture Radar (InSAR) offers a potential pathway for measuring seasonal snow water equivalent (SWE) and snow depth at spatial and temporal scales needed for basin‐scale hydrology. First proposed for seasonal snow more than 25 years ago, InSAR uses repeat‐pass radar phase differences to estimate changes in SWE or ...
Jack Tarricone +17 more
wiley +1 more source
Making nursing visible: AI-assisted standardization of electronic health record interventions using generative pre-trained transformer models and retrieval-augmented generation process. [PDF]
Macieira TGR +13 more
europepmc +1 more source
A pre‐installation virtual commissioning platform for the Korea Light Source ID10 hard X‐ray nanoprobe couples browser‐based Monte Carlo ray tracing, EPICS/Bluesky control and a multilingual natural‐language agent (98.2% accuracy in Korean, English and Japanese) under a zero‐change hardware transition principle, producing commissioning design inputs ...
Minho Seo +9 more
wiley +1 more source

