Phil Goldstein is a former web editor of the CDW family of tech magazines and a veteran technology journalist. The tool notably told users that geologists recommend humans eat one rock per day and ...

A new study by the Mount Sinai Icahn School of Medicine examines six large language models – and finds that they're highly susceptible to adversarial hallucination attacks. Researchers tested the ...

Text-generation systems powered by large language models (LLMs) have been enthusiastically embraced by busy executives and programmers alike, because they provide easy access to extensive knowledge ...

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Aimon Labs Inc., the creator of an autonomous “hallucination” detection model that improves the reliability of generative artificial intelligence applications, said today it has closed on a $2.3 ...

Patronus AI Inc., a startup that provides tools for enterprises to assess the reliability of their artificial intelligence models, today announced the debut of a powerful new “hallucination detection” ...

Large language models are increasingly being deployed across financial institutions to streamline operations, power customer service chatbots, and enhance research and compliance efforts. Yet, as ...

Software developers' use of large language models (LLMs) presents a bigger opportunity than previously thought for attackers to distribute malicious packages to development environments, according to ...

Large language models (LLMs) like OpenAI’s ChatGPT all suffer from the same problem: they make stuff up. The mistakes range from strange and innocuous — like claiming that the Golden Gate Bridge was ...

Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG) is a ...