Technology

AI tool uses face photos to estimate biological age and predict...

AI Observer
News

OpenAI ne vypolnila obeshchanie po sozdaniiu instrumenta dlia zashchity avtorskikh prav...

AI Observer
News

These Nothing Earbuds have built-in ChatGPT support and are now at...

AI Observer
News

Flashback: This was the biggest Android news of last year

AI Observer
News

Smart home at CES 2020: AI and Matter will be the...

AI Observer
News

Employer branding fashions AI, new generations and real commitment

AI Observer
News

Nvidia will open-source Run:ai software, which it acquired for $700M in...

AI Observer
News

ByteDance denies reported plan for $7 billion NVIDIA chip

AI Observer
News

Alexa’s big Amazon AI revamp: 8 burning questions answered

AI Observer
News

The Artificial Intelligence Revolution: From ChatGPT to Google, Meta and Anthropic...

AI Observer
News

Character.ai lets users role play with chatbots based on school shooters

AI Observer

Featured

News

Is Automated Hallucination Detection in LLMs Feasible? A Theoretical and Empirical...

AI Observer
News

This AI Paper Introduce WebThinker: A Deep Research Agent that Empowers...

AI Observer
News

A Step-by-Step Guide to Implement Intelligent Request Routing with Claude

AI Observer
News

Researchers from Fudan University Introduce Lorsa: A Sparse Attention Mechanism That...

AI Observer
AI Observer

Is Automated Hallucination Detection in LLMs Feasible? A Theoretical and Empirical...

Recent advancements in LLMs have significantly improved natural language understanding, reasoning, and generation. These models now excel at diverse tasks like mathematical problem-solving and generating contextually appropriate text. However, a persistent challenge remains: LLMs often generate hallucinations—fluent but factually incorrect responses. These hallucinations undermine the reliability of LLMs, especially...