Large language models (or LLMs) have become a topic of daily conversations. Their quick adoption is evident by the amount of time required to...

Large language model (LLM) training has become increasingly popular over the last year with the release of several publicly available models such as Llama2,...

AI in brief Using a text-to-image model to craft an AI-generated image can require almost the same amount of power as that required to...

KT Corporation is one of the largest telecommunications providers in South Korea, offering a wide range of services including fixed-line telephone, mobile communication, and...

Whisper is an Automatic Speech Recognition (ASR) model that has been trained using 680,000 hours of supervised data from the web, encompassing a range...

In the shadow of tightening U.S. sanctions, Nvidia is forging ahead with plans to unveil three new artificial intelligence (AI) chips designed for the...

It's been less than a month since the Biden administration effectively barred the export of most American-designed AI accelerators to China, yet Nvidia has...

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing....

As companies race to build AI into their products, there are concerns about the technology’s potential energy use. A new analysis suggests AI could...

When it comes to crafting written content, three essential elements come into play: “complexity,” “variability,” and “unpredictability.” Complexity, or perplexity, assesses the intricacy of...

The recent spike of interest in AI thanks to large language models (LLMs) and generative AI is pushing adoption of the tech by a...

What is the optimal framework and configuration for hosting large language models (LLMs) for text-generating generative AI applications? Despite the abundance of options for...