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 ...
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 ...
What if we could truly understand the “thoughts” of artificial intelligence? Imagine peering into the intricate inner workings of a large language model (LLM) like GPT or Claude, watching as it crafts ...
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 ...
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Adaptive drafter model uses downtime to double LLM training speed
Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...
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 ...
A duplex speech-to-speech model changes the premise: The intelligence layer consumes audio and produces audio directly. The model can attend to what was said and how it was said—content and delivery ...
Microsoft’s Phi-4-reasoning-vision-15B model shows how compact AI systems can combine vision and reasoning, signalling a broader industry move towards efficiency rather than simply building ever ...
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