The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

At RSAC, a security researcher explains how bad actors can push LLMs off track by deliberately introducing false inputs, causing them to spew wrong answers in generative AI apps. When the IBM PC was ...

A glimpse at how DeepSeek achieved its V3 and R1 breakthroughs, and how organizations can take advantage of model innovations when they emerge so quickly. The release of DeepSeek roiled the world of ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

AI data trainer roles have moved from obscure contractor gigs to a visible career path with clear pay bands and defined ...

What the firm found challenges some basic assumptions about how this technology really works. The AI firm Anthropic has developed a way to peer inside a large language model and watch what it does as ...

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...

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 ...

As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress. To really ...

Inception, a new Palo Alto-based company started by Stanford computer science professor Stefano Ermon, claims to have developed a novel AI model based on “diffusion” technology. Inception calls it a ...