What if the future of artificial intelligence wasn’t about building bigger, more complex models, but instead about making them smaller, faster, and more accessible? The buzz around so-called “1-bit ...

Alan is an experienced culture, commerce, and tech author with a background in newspaper reporting. His work has appeared in Rolling Stone, Paste Magazine, The Escapist, ESPN, PC Gamer, and a ...

A clear breakdown of RLVR environments for LLMs — what they are, how policies and rollouts work, and the role of rubrics in the process. Perfect for anyone interested in reinforcement learning and AI ...

Researchers from Anthropic PBC today published two papers that shed new light on how large language models perform processing. According to the company, the findings provide a better understanding of ...

Wonder what is really powering your ChatGPT or Gemini chatbots? This is everything you need to know about large language models. Lisa Lacy Former Lead AI Writer Lisa joined CNET after more than 20 ...

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 ...

In 2017, a group of Google researchers published a paper titled “Attention Is All You Need.” That simple phrase didn’t just describe the Transformer architecture, it rewrote the future of artificial ...

Clever research reveals that therapy-oriented AI chats can cause AI to act delusionally. The root is AI personas. I explain ...

From answering complex queries to generating creative content, large language models (LLMs) like ChatGPT, Gemini, and others are becoming integral to how users seek and consume information online.

Ryan Clancy is an engineering and tech (mainly, but not limited to those fields!!) freelance writer and blogger, with 5+ years of mechanical engineering experience and 10+ years of writing experience.