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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 ...

Progress in AI systems often feels cyclical. Every few years, computers can suddenly do something they’ve never been able to do before. “Behold!” the AI true believers proclaim, “the age of artificial ...

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 ...

The self-attention-based transformer model was first introduced by Vaswani et al. in their paper Attention Is All You Need in 2017 and has been widely used in natural language processing. A ...

Today, virtually every cutting-edge AI product and model uses a transformer architecture. Large language models (LLMs) such as GPT-4o, LLaMA, Gemini and Claude are all transformer-based, and other AI ...

Today, most generative image models basically fall into two main categories: diffusion models, like Stable Diffusion, or autoregressive models, like OpenAI’s GPT-4o. But Apple just released two papers ...

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 ...

TL;DR: NVIDIA's DLSS 4 introduces a Transformer-based Super Resolution AI, delivering sharper, faster upscaling with reduced latency on GeForce RTX 50 Series GPUs. Exiting Beta, DLSS 4 enhances image ...