Tech Xplore

Adaptive drafter model uses downtime to double LLM training speed

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...
IEEE

CECAT: Certainty-Guaranteed Environment for Computerized Adaptive Testing

Abstract: Computerized Adaptive Testing (CAT) is a fundamental issue in intelligent education, which aims to select a relatively small number of questions to assess student’s ability. However, ...
PCMag

Get Into Dell's Best Presidents' Day Deals and Win Big Discounts on Desktops, Laptops, Monitors, and More

Dell is one of the most established parties in the PC space, and they're delivering some of the most impressive deals out ...
IEEE

Shortening the MacArthur-Bates Communicative Developmental Inventory Using Machine Learning Based Computerized Adaptive Testing (ML-CAT)

Abstract: Early identification of infants and toddlers at risk for developmental disorders can improve the efficiency of early intervention programs and can reduce healthcare costs. The ...
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Building and testing narrowboat steps | Companionway tutorial

Learn how to build and test narrowboat steps with this companionway tutorial, covering precise measurements, secure installation, and safety checks. Perfect for DIY narrowboat owners aiming to improve ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...