Large language models (LLMs) have demonstrated impressive capabilities in natural language understanding and automation, but our experience shows they are not yet suited for the specific, high-stakes ...

Privacy at home, power in the cloud.

The real artificial intelligence crisis isn't what the models might hallucinate - it's what they'll never forget. The rapid adoption of AI has created a "Shadow IT 2.0" scenario, in which employees ...

Large language models (LLMs) are transforming how enterprises operate, but their "black box" nature often leaves enterprises grappling with unpredictability. Addressing this critical challenge, ...

As companies race to capture AI’s productivity promise, a new trend is emerging: the rapid adoption of private large language models (LLMs). Private LLMs are essentially custom chatbots tailored to a ...

Give a large language model broad access to data and it becomes the perfect insider threat, operating at machine speed and without human judgment. Large language models (LLMs) have quickly evolved ...

Hallucinations in LLMs: Why they happen, how to detect them and what you can do. As large language models (LLMs) like ChatGPT, Claude, Gemini and open source alternatives become integral to modern ...

One of the most frustrating things about using a large language model is dealing with its tendency to confabulate information, hallucinating answers that are not supported by its training data. From a ...

The use of large language models (LLMs) as an alternative to search engines and recommendation algorithms is increasing, but early research suggests there is still a high degree of inconsistency and ...

The basic concept of human intelligence entails self-awareness alongside the ability to reason and apply logic to one’s actions and daily life. Despite the very fuzzy definition of ‘human intelligence ...