This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

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Transformer in Artificial Intelligence powers over 90% of modern AI models today. Introduced by researchers at Google in 2017, the Transformer architecture changed machine learning forever. It helps ...

Over the past two years, AI-powered image generators have become commodified, more or less, thanks to the widespread availability of — and decreasing technical barriers around — the tech. They’ve been ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Multi-modal models that can process both ...

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. (In partnership with Paperspace) In recent years, the transformer model has ...

As generative AI touches a growing number of industries, the companies producing chips to run the models are benefiting enormously. Nvidia, in particular, wields massive influence, commanding an ...

The development of large language models (LLMs) is entering a pivotal phase with the emergence of diffusion-based architectures. These models, spearheaded by Inception Labs through its new Mercury ...

Perceive, the AI chip startup spun out of Xperi, has released a second chip with hardware support for transformers, including large language models (LLMs) at the edge. The company demonstrated ...