DeepSeek has released a new AI training method that analysts say is a "breakthrough" for scaling large language models.

The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

A Practitioner Model Informed by Theory and Research guides the CAPS training program. Practicum students are trained to ground their practice of psychology in theory and research. This model is ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Enterprises have spent the last 15 years moving information technology workloads from their data centers to the cloud. Could generative artificial intelligence be the catalyst that brings some of them ...

Last week, Olympian, doctor and coach Marius Bakken published a fantastic article on the "Norwegian model" of training. It's a long read, but extremely worth it, delving into the nooks and crannies of ...

DeepSeek’s research doesn’t claim to solve hardware shortages or energy challenges overnight. Instead, it represents a quieter but important improvement: making better use of the resources already ...

Training AI models used to mean billion-dollar data centers and massive infrastructure. Smaller players had no real path to competing. That’s starting to shift. New open-source models and better ...

It has been becoming increasingly clear – anecdotally at least – just how expensive it is to train large language models and recommender systems, which are arguably the two most important workloads ...