Technology

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

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AMD

BigQuery is 5x larger than Snowflake or Databricks. What Google is...

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Anthropic

HONOR 400 Lite will be available from 25 April

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Anthropic

Acer’s touchscreen AI Laptop with 16GB RAM is only $570

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Anthropic

Samsung Galaxy A36 vs. Samsung Galaxy A35

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Anthropic

“I just wanted my $22,000 back”, Thousands of Nigerians are dealing...

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Since over 25 years, Tech enthusiasts have been served by Nvidia.

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New Nvidia drivers improve performance in benchmarks, but crashes and gaming...

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OpenAI’s latest AI model can ‘think in images’ and combine tools.

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Google Gemini AI gets Scheduled Actions similar to ChatGPT

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OpenAI details ChatGPT o3, o4 mini, o4 mini-high usage limitations

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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...