Photo by Helena Lopes on Pexels

A wave of startups is challenging the status quo in AI development, moving away from the traditional model of massive data centers. Instead, these companies are pioneering decentralized approaches to build Large Language Models (LLMs), leveraging distributed computing power and crowd-sourced training methodologies. This shift promises to democratize AI, opening doors for broader participation and potentially disrupting the industry landscape. One startup is even slated to release a 100 billion-parameter model later this year, trained entirely using this decentralized framework.