In the late 1970s, a Princeton undergraduate named John Aristotle Phillips made headlines by designing an atomic bomb using only publicly available sources for his junior year research project. His ...

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...

Jon covers artificial intelligence. He previously led CNET's home energy and utilities category, with a focus on energy-saving advice, thermostats, and heating and cooling. Jon has more than a decade ...

How large is a large language model? Think about it this way. In the center of San Francisco there’s a hill called Twin Peaks from which you can view nearly the entire city. Picture all of it—every ...

What if you could demystify one of the most fantastic technologies of our time—large language models (LLMs)—and build your own from scratch? It might sound like an impossible feat, reserved for elite ...

For the past two years, artificial intelligence strategy has largely meant the same thing everywhere: pick a large language model, plug it into your workflows, and start experimenting with prompts.

Generative AI, especially large language models (LLMs), present exciting and unprecedented opportunities and complex challenges for academic research and scholarship. As the different versions of LLMs ...

The best thing about self-hosted LLMs is that you can choose from hundreds of models ...

Over the past year, the conversation around artificial intelligence (AI) has shifted. After a period of rapid progress, many teams deploying large language models (LLMs) are encountering familiar ...