A cutting-edge large language model (LLM) outperformed human doctors in common clinical reasoning tasks including emergency room decisions, identifying likely diagnoses, and choosing next steps in ...

Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...

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.

Not too long ago, AI just used to serve as the obligatory plot driver of your average science fiction movie. Then suddenly, all these big language models felt like they arrived out of nowhere. Now ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

Amazon can’t get enough of AI, announcing on Monday a fresh $5 billion investment into Anthropic and a commitment to invest $20 billion more tied to “certain commercial milestones.” In return, ...

A major difference between LLMs and LTMs is the type of data they’re able to synthesize and use. LLMs use unstructured data—think text, social media posts, emails, etc. LTMs, on the other hand, can ...

As LLMs hit the limits of scale and cost, specialized SLMs are emerging as the faster, cheaper, and more private workhorse ...