Discover how Unsloth and multi-GPU training slash AI model training times while boosting scalability and performance. Learn more on how you ...

When you start BrainHQ for the first time, you’ll answer a few easy questions to help BrainHQ customize the training for you.

Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall” was published by researchers at Argonne ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

A classic "Simon Says" memory game built using HTML, CSS, and Vanilla JavaScript. Test your memory as you repeat an ever-growing sequence of flashing buttons — how far can you go?

Solidigm's Ace Stryker explains why we need a new approach to retrieval-augmented generation (RAG) that enables unprecedented levels of scalability and cost efficiency. AI inference with ...

As an instructor and leader, the fire officer plays a critical role in shaping the skills, confidence, and synergy of your crew. Training isn’t just about achieving compliance with departmental ...

In Orlando, Florida, a dozen seniors gather in a YMCA twice a week. Some push walkers, others roll in on wheelchairs. After some light exercise and corny jokes, they get down to the real ...

A 10-week program that combines cognitive behavioral therapy — a technique focused on understanding the connection between thoughts, feelings, and behaviors — with cognitive training to improve memory ...

Abstract: Large Language Models (LLMs) have transformed natural language processing, yet their deployment remains challenging due to substantial computational, memory, and energy demands.