In today’s column, I explore the exciting news that an alternative method to generative AI and large language models (LLMs) appears to be gaining interest and potentially provides some distinct advantages to conventional approaches. Here’s the deal in a nutshell. The usual path to devising generative AI consists of what is known as autoregressive LLMs, while the promising new avenue is referred to as diffusion LLMs (dLLMs).
Yes, indeed, dLLMs just might be a winner-winner chicken dinner. I will share with you how prevailing generative AI works and then introduce the diffusion approach. We don’t know yet that diffusion is going to overtake autoregression for sure, but there is a darned good chance that diffusion will certainly shake things up.
Let’s talk about it.
This analysis of an innovative AI breakthrough is part of my ongoing Forbes column coverage on the latest in AI, including identifying and explaining various impactful AI complexities (see the link here).
Content retrieved from: https://www.forbes.com/sites/lanceeliot/2025/03/07/generative-ai-gets-shaken-up-by-newly-announced-text-producing-diffusion-llms/.
