Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

The human microbiome is increasingly recognized as a key mediator of health and disease, yet translating microbial associations into actionable interventions remains challenging. This review ...

Abstract: Predictive maintenance plays a key role in industrial manufacturing by identifying machine failure risks early. This prevents downtime and improves efficiency, contributing towards industry ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

AI is moving from “interesting tool” to “invisible teammate.” It is now time to focus on more advanced skills that let you design, supervise and multiply that teammate’s impact, especially in ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Abstract: Vehicle location prediction and the use of vehicle location tracking are increasingly important topics of discussion among connected vehicle researchers. Location tracking for mobile users ...

ABSTRACT: This qualitative study examines the role of Village Savings and Loan Associations (VSLA) in reducing female genital mutilation (FGM) in two regions of Côte d’Ivoire. Through interviews and ...

The testing effect—whereby retrieving information through testing improves long-term retention more than restudying—is one of the most robust and well-documented phenomena in educational psychology.