DeepMind working on distributed training of large AI models

Is distributed training the future of AI? As the shock of the DeepSeek release fades, its legacy may be an awareness that alternative approaches to model training are worth exploring, and DeepMind ...
InfoQ

Alpa: Automating Model Sharding for Distributed Deep Learning

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
TMCnet

MicroCloud Hologram Inc. Develops Quantum-Driven 3D Intelligent Model

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, developed a quantum-driven 3D intelligent model, which is a 3D modeling and image processing system ...
Geeky Gadgets

Unsloth : The Secret Weapon for Faster Machine Learning Models

What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...
The Next Platform

Distributed AI Training SETI-Style on Idle Cloud

Poor utilization is not the single domain of on-prem datacenters. Despite packing instances full of users, the largest cloud providers have similar problems. However, just as the world learned by ...
VentureBeat

Tencent’s new AI technique teaches language models ‘parallel thinking’

In a new paper, researchers from Tencent AI Lab Seattle and the University of Maryland, College Park, present a reinforcement learning technique that enables large language models (LLMs) to utilize ...