Personalization boosts engagement and sales. AI-powered post-purchase portals can deliver targeted offers and product suggestions within order-status notifications. Returns are a loyalty opportunity.

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Have you ever wondered how to transform a general-purpose language model into a finely tuned expert tailored to your specific needs? The process might sound daunting, but with the right tools, it ...

1 Department of Radiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China 2 Medical Imaging Research Center, Anhui Medical University, Hefei, China Objective: Despite the ...

Abstract: Logistic regression is a fundamental and widely used statistical method for modeling binary outcomes based on covariates. However, the presence of missing data, particularly in settings ...

A comprehensive machine learning web application that predicts disease risk based on patient medical parameters using Logistic Regression and Random Forest algorithms. This project provides an ...

Researchers at the company looked into how malicious fine-tuning makes a model go rogue, and how to turn it back. A new paper from OpenAI has shown why a little bit of bad training can make AI models ...

ABSTRACT: Elderly individuals undergoing long-term neuroleptic therapy are increasingly vulnerable to cognitive decline, a condition that significantly impairs quality of life and increases healthcare ...

Department of Mathematics, Statistics and Actuarial Science, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia. Food insecurity ...

Objective: There is limited study on predictive models for live births in patients with polycystic ovarian syndrome (PCOS). The study aimed to develop and validate a nomogram for predicting live ...

The current Evo2 fine-tuning script is primarily designed for sequence generation. However, many genomic applications require predicting continuous numerical values from DNA sequences, such as gene ...