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 ...

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 ...
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 ...

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 ...

How are Indian firms training LLMs? | Explained

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

Inflection AI debuts new flagship Inflection-2 LLM trained on 5,000 H100 chips

Inflection AI Inc. today debuted its new flagship large language model, Inflection-2, which it claims can outperform most major rivals with the exception of OpenAI’s GPT-4. Inflection AI was founded ...
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 ...
XDA Developers on MSN

You're using your local LLM wrong if you're prompting it like a cloud LLM

Local models work best when you meet them halfway ...

Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
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 ...
Hosted on MSN

Want to run and train an LLM model locally? I found the Minisforum MS-S1 Max mini PC to be an affordable option in my tests

For a machine that just fits the mini PC classification, the Minisforum MS-S1 is something on another level and almost by definition, and this is reflected in the near £2,500 / $2,500 price tag. That ...

Microsoft boffins figured out how to break LLM safety guardrails with one simple prompt

Chaos-inciting fake news right this way A single, unlabeled training prompt can break LLMs' safety behavior, according to Microsoft Azure CTO Mark Russinovich and colleagues. They published a research ...