GPT-4, took an estimated 50 gigawatt-hours to train, or the equivalent of 5,000 American homes’ yearly power consumption.

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 ...

Researchers' MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining it and see a 26% ...

AI remains top of mind for many business and industry leaders, and the sector shows no signs of slowing down regarding investment and funding. Most recently, the generative AI startup Writer announced ...

A recent warning from OpenAI about the potential ramifications of a stringent copyright crackdown on artificial intelligence (AI) development has sparked a complex legal debate about the balance ...

A technical paper titled “Optimizing Distributed Training on Frontier for Large Language Models” was published by researchers at Oak Ridge National Laboratory (ORNL) and Universite Paris-Saclay.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today. Large language ...

Gracenote, the content intelligence business unit of Nielsen, today released its latest report, "Plot holes in AI: Why Ungrounded LLMs Can't Fix Content Discovery." The research examines how ...

As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress. To really ...