Technology

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

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Nvidia driver issues are still a mess

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Stripe unveils AI foundation model for payments, reveals ‘deeper partnership’ with...

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OpenAI and FDA are reportedly talking about AI for drug evaluations.

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OpenAI and FDA Hold talks about using AI in drug evaluation

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Google disputes Eddy Cue’s claim that Apple users search less

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The telltale sign you used ChatGPT and a way to avoid...

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Hugging Face

Hugging Face releases free AI agentic tool similar to Operator

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Anthropic

MIVA, Nigeria’s first private open University, targets 100,000 students through its...

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Anthropic

Google-backed Platos Health raises pre-seed $1.4 million to roll out preventive...

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Nvidia and MediaTek could finally unveil their AI PC in this...

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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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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...