Tags: Hallucinations

Detecting AI hallucination is increasingly vital as advancements in AI technology introduce challenges. The new Guardian agent model aims to improve AI accuracy by correcting…

Recent research by Giskard, a Paris-based AI testing company, reveals that requesting concise answers from AI chatbots can increase hallucinations—instances where the AI generates false…

OpenAI’s new o3 and o4-mini AI models demonstrate advanced capabilities but face a significant issue with increased hallucinations, or inaccurate information generation. Internal evaluations show…

MongoDB’s Voyage AI is transforming how enterprises manage mission-critical operations by leveraging generative AI. This advanced platform enhances productivity through data optimization, scalability, and robust…

Hallucinations in AI, especially generative AI, pose significant challenges in healthcare by generating plausible yet incorrect outputs, which can lead to misdiagnoses and undermine trust…

Meta has proposed a solution to the issue of hallucinations in large language models (LLMs) through the use of memory layers. This approach enhances model…