Enterprises often find that when they fine-tune models, one effective approach to making a large language model (LLM) fit for purpose and grounded in data is to have the model lose some of its ...

A new research paper from OpenAI asks why large language models like GPT-5 and chatbots like ChatGPT still hallucinate and whether anything can be done to reduce those hallucinations. In a blog post ...

Last year, “hallucinations” produced by generative artificial intelligence (Generative AI [GenAI]) were in the spotlight in court, in court again, and certainly, all over the news. More recently, ...

One of the best approaches to mitigate hallucinations is context engineering, which is the practice of shaping the information environment that the model uses to answer a question. Instead of ...

The main problem with big tech’s experiment with artificial intelligence is not that it could take over humanity. It’s that large language models (LLMs) like Open AI’s ChatGPT, Google’s Gemini, and ...

When I wrote about AI hallucinations back in July 2024, the story was about inevitability. Back then, GenAI was busy dazzling the world with its creativity, but equally embarrassing itself with ...

In a landmark study, OpenAI researchers reveal that large language models will always produce plausible but false outputs, even with perfect data, due to fundamental statistical and computational ...

Hirundo's world-first technology empowers enterprises to make AI models "forget" problematic data and behavior, resulting in up to 55% less hallucinations and 70% reduction in AI bias when deployed, ...

Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those ...