Demystifying structured data: How to speak an LLM’s native language

Elk Marketing reports that structured data enhances AI understanding, enabling accurate entity recognition and improved ...
IEEE

MedESM: Improving Clinical Note Readability with a Lightweight Structured Summarization Language Model

Abstract: The digitization of clinical data via electronic health records (EHRs) shows great promise for data-based decisionmaking, particularly through the analysis of unstructured clinical notes.
Journal of Medical Internet Research

Interdisciplinary Development and Fine-Tuning of CARDIO, a Large Language Model for Cardiovascular Health Education in HIV Care: Tutorial

In this tutorial, we describe the iterative, data-based development and evaluation of an intersectionality-informed large language model designed to support patient teaching in this population.
InfoWorld

Spring AI tutorial: How to develop AI agents with Spring

Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.
IEEE

SSFT: Algorithm and Hardware Co-design for Structured Sparse Fine-Tuning of Large Language Models

Abstract: A significant number of users depend on Large Language Models (LLMs) for downstream tasks, but training LLMs from scratch remains prohibitively expensive. Sparse finetuning (SFT) has emerged ...