I’m a Senior Machine Learning Engineer at Red Hat. With a background in generative AI for image restoration, I focus on evaluating what LLMs are actually capable of, ensuring their reliability, and advancing their underlying architecture.
This article discusses the benefits of diffusion LLMs, a revolutionary approach to language models that offers a dynamic tradeoff between accuracy and performance. The article covers the architecture, evolution, and real-world statistics of this technology, including examples of open source models like LLaDA 2.X and Mercury 2.
