By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...

In 2006, Paul Ferraro and Subhrendu Pattanayak issued an urgent warning: conservation lacked the causal evidence needed to ...

Looking to scale emotional intelligence training across your organization? Here are 5 key lessons from 40 expert interviews ...

These versatile strategies—from brain dumps to speed sharing—help students track their own progress while informing your next instructional steps.

To the rescue: periodization training. Put simply, periodization training is an intentional exercise program with “strategically fluctuating variables like volume, intensity, speed, and weight,” says ...

Artificial intelligence is already accelerating the loss of entry-level positions at automakers ― and the industry is looking to recalibrate what it takes to earn a lasting career in carmaking.

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Key insight: Citi is putting most of its employees through prompt training in the hopes of improving productivity. What's at stake: Poor prompting risks degraded competitiveness and slower operational ...

GRAND RAPIDS, Mich. — After four days of competitive scrimmage action on the West side of the state, the Detroit Red Wings are ready — eager, even — to see some new faces across the ice. “I’d like to ...

Large language models (LLMs) very often generate “hallucinations”—confident yet incorrect outputs that appear plausible. Despite improvements in training methods and architectures, hallucinations ...