As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...

Overview: Modern Large Language Models are faster and more efficient thanks to open-source innovation.GitHub repositories remain the main hub for building, test ...

Mark Stevenson has previously received funding from Google. The arrival of AI systems called large language models (LLMs), like OpenAI’s ChatGPT chatbot, has been heralded as the start of a new ...

Anthropic has long been warning about these risks—so much so that in 2023, the company pledged to not release certain models ...

As great as generative AI looks, researchers at Harvard, MIT, the University of Chicago, and Cornell concluded that LLMs are not as reliable as we believe. Even a big company like Nintendo did not ...

Forbes contributors publish independent expert analyses and insights. Exploring Cloud, AI, Big Data and all things Digital Transformation. Frontier models in the billions and trillions of parameters ...

Language isn’t always necessary. While it certainly helps in getting across certain ideas, some neuroscientists have argued that many forms of human thought and reasoning don’t require the medium of ...

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 ...

In recent ground tests, Boeing engineers demonstrated that a large language model running on commercial off-the-shelf hardware could examine telemetry and report in natural language on the health of a ...