SiliconANGLE

Patronus AI open-sources Lynx, a real-time LLM-based judge of AI hallucinations

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” ...
VentureBeat

Google DeepMind researchers introduce new benchmark to improve LLM factuality, reduce hallucinations

Hallucinations, or factually inaccurate responses, continue to plague large language models (LLMs). Models falter particularly when they are given more complex tasks and when users are looking for ...
Reason

Journal of Free Speech Law: "Inevitable Errors: Defamation by Hallucination in AI Reasoning Models," by Lyrissa Lidsky & Andrew Daves

This new article is here. The Introduction: Artificial general intelligence is "probably the greatest threat to the continued existence of humanity." Or so claims OpenAI's Chief Executive Officer Sam ...
Diginomica

Galileo takes on detecting AI hallucinations, but new metrics are needed

In a week that may surely inspire the creation of AI safety awareness week, it’s worth considering the rise of new tools to quantify the various limitations of AI. Hallucinations are emerging as one ...
SiliconANGLE

Galileo debuts Protect hallucination firewall as AI model accuracy comes into sharper focus

Startup Galileo Technologies Inc. today debuted a new software tool, Protect, that promises to block harmful artificial intelligence inputs and outputs. The company describes the product as a ...
Diginomica

TruEra - baking hallucinations into AI quality assurance

Researchers and vendors are developing a variety of complementary approaches for measuring hallucinations in AI. TruEra is baking this into the AI development process. Hallucinations are shaping up to ...
Business Insider

Did OpenAI silently release a new AI model or is it a hallucination?

Every time Hasan publishes a story, you’ll get an alert straight to your inbox! Enter your email By clicking “Sign up”, you agree to receive emails from ...
InfoWorld

What is retrieval-augmented generation? More accurate and reliable LLMs

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 ...
Computerworld

AI hallucination mitigation: two brains are better than one

A number of startups and cloud service providers are beginning to offer tools to monitor, evaluate and correct problems with generative AI in the hopes of eliminating errors, hallucinations and other ...
MedPage Today

Hallucination, Fake References: Cautionary Tale About AI-Generated Abstracts

Artificial intelligence (AI) chatbots generated "average-quality" ophthalmic scientific abstracts but produced an "alarming" rate of fake references, a study of two chatbot programs showed. About 30% ...
EurekAlert!

Exposing biases, moods, personalities, and abstract concepts hidden in LLMs

CAMBRIDGE, MA -- By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they’re far from simple answer-generators; they can also express abstract ...