ascopubs.org

Ensuring Reliability of Curated Electronic Health Record–Derived Data: The Validation of Accuracy for Large Language Model–/Machine Learning–Extracted Information and ...

Early-Stage Breast Cancer in Women Younger Than 50 Years: Comparing American Joint Committee on Cancer Anatomic and Prognostic Stages With Partitioning Around Medoids Clusters in SEER Data Large ...
ascopubs.org

Enhancing Patient-Trial Matching With Large Language Models: A Scoping Review of Emerging Applications and Approaches

A comprehensive search was conducted in PubMed, Web of Science, and OpenAlex for literature published between December 1, 2022, and December 31, 2024. Studies were included if they explicitly ...
TechRepublic

Cisco Talos Researcher Reveals Method That Causes LLMs to Expose Training Data

In this TechRepublic interview, Cisco researcher Amy Chang details the decomposition method and shares how organizations can protect themselves from LLM data extraction. Cisco Talos AI security ...

Unsloth Desktop App Release and GLiNER2 Information Extraction Framework — GitHub Trending Today's Notable OSS

This article has been edited and created by AI.Today's highlights on GitHub Trending in the Python and RSS categories focus ...
techtarget

How to train an LLM on your own data

General-purpose large language models are convenient because businesses can use them without any special setup or customization. However, to get the most out of LLMs in business settings, ...