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

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Zuckerberg Reveals Surreal Metaverse Vision

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Figma Launches AI Tools for Designers

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When AI Selfies Go Too Far

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AI Revives Lost Agatha Christie Tale

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The Climate Crisis Threatens Supply Chains. Manufacturers Hope AI Can Help

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Dozens of YouTube Channels Are Showing AI-Generated Cartoon Gore and Fetish...

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A DOGE Recruiter Is Staffing a Project to Deploy AI Agents...

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DOGE Is in Its AI Era

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The Dream of the Metaverse Is Dying. Manufacturing Is Keeping It...

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Take a Tour of All the Essential Features in ChatGPT

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

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

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

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

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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...