Guide Labs debuts a new kind of interpretable LLM

The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...

Manifold-Constrained Hyper-Connections: The Architectural Breakthrough That Might Redefine LLM Training

If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...
Tech Xplore on MSN

Adaptive drafter model uses downtime to double LLM training speed

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks ...
eWeek

How to Train an LLM: A Simple, User-Friendly Guide

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
The Next Web

AI training efficiency: From Throughput to Goodput

Pretraining a modern large language model (LLM), often with ~100B parameters or more, typically involves thousands of ...
Hosted on MSN

9 reasons why you should consider onsite LLM training and inferencing

Running large language models at the enterprise level often means sending prompts and data to a managed service in the cloud, much like with consumer use cases. This has worked in the past because ...
SDxCentral

TensorOpera and Aethir Team Up to Advance Massive-Scale LLM Training on Decentralized Cloud

PALO ALTO, Calif.--(BUSINESS WIRE)--TensorOpera, the company providing “Your Generative AI Platform at Scale,” has partnered with Aethir, a distributed cloud infrastructure provider, to accelerate its ...

How are Indian firms training LLMs? | Explained

Explore how Indian firms are training Large Language Models, overcoming challenges with data, capital, and innovative ...
VentureBeat

ServiceNow open sources Fast-LLM in a bid to help enterprises train AI models 20% quicker

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Training a large language model (LLM) is ...
Digi Times

ByteDance open-sources COMET to boost MoE efficiency, accelerating LLM training by 1.7x

ByteDance's Doubao AI team has open-sourced COMET, a Mixture of Experts (MoE) optimization framework that improves large language model (LLM) training efficiency while reducing costs. Already ...
Communications of the ACM

LLM Evaluation is Key to Accurate, Reliable, Effective GenAI

Enter large language model (LLM) evaluation. The purpose of LLM evaluation is to analyze and refine GenAI outputs to improve their accuracy and reliability while avoiding bias. The evaluation process ...
EurekAlert!

Release of “Fugaku-LLM” – a large language model trained on the supercomputer “Fugaku”

A team of researchers in Japan released Fugaku-LLM, a large language model with enhanced Japanese language capability, using the RIKEN supercomputer Fugaku. A team of researchers in Japan released ...