Journal of Medical Internet Research

Using Large Language Models to Abstract Complex Social Determinants of Health From Original and Deidentified Medical Notes: Development and Validation Study

Large language models (LLMs) developed from Generative Pre-trained Transformers (GPTs) have shown potential for performing complex abstraction tasks on unstructured clinical notes. Objective: Here, we ...
Journal of Medical Internet Research

Nurses’ Perspectives on Evidence Dissemination Barriers and Large Language Model–Based Support: Qualitative Study Using Focus Groups and Nominal Group Technique

Large language models (LLMs), with their advanced natural language processing capabilities, offer potential as innovative tools to facilitate evidence dissemination. However, general-purpose LLMs ...
IEEE

SMS Spam Detection using Advance Naive-Bayes Approach

Abstract: Recently, with increased use of mobile phones, it has transformed into a multibillion-dollar Short Message Service or SMS. However, the drop in the cost of messaging services has led to an ...
IEEE

Analysis of Twitter Netizens' Sentiment Regarding the Allocation of Untargeted KIP Scholarships Using the Naive Bayes Classifier Algorithm

Abstract: The existence of the Kartu Indonesia Pintar (KIP) or smart Indonesia Card program can help underprivileged people to continue their education in higher education. However, there are still ...
MassLive

Parlez-vous? The pros, cons of using AI to learn a new language

Editor’s note: This article was produced by a University of Massachusetts Amherst journalism student, in collaboration with MassLive, as part of a project in professor Steve Fox’s Introduction to ...
Hacker

Prompt Engineering for Architects: Using LLMs to Validate System Design Constraints

I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven enterprise solutions that integrate LLM. I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven ...