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

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More productivity, more creativity: Win a Chromebook Plus with full AI...

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[iPhonedeGoogle AIwoHuo Yong shiyou] iOSYong GeminiapuriGong Kai , Hui Hua dekiru[Live]...

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Google DeepMind presents Veo 2: The latest version of the AI...

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Google DeepMind unveils Veo 2: an advanced video model to compete...

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Google unveils Veo 2 text to video which destroys OpenAI’s Sora.

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Google shows new video AI: How Veo 2 compares to OpenAI’s...

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OpenAI’s O3 is a turning-point for AI, and it comes with...

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OpenAI reveals its restructuring plan to become a for-profit company

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ChatGPTtoSoradeZhang Hai Fa Sheng –Yuan Yin ha[Shang Liu purobaida]

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It is the biggest novelty of the year for WhatsApp: for...

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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...