Anthropic

Jumia expects to be profitable in 2027, as Q1 results show...

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Anthropic

Samsung Galaxy S25 in for review

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Samsung Galaxy A36 & A56 repairability scores revealed ahead of launch

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Anthropic

On Tuesday, January 21, 20,25, hundreds passengers at Abuja airport experienced...

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Anthropic

Bento CEO’s resignation leaves Investors in the Dark amid EFCC and...

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Bento CEO resigns amid EFCC and LIRS probes; gives up equity.

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Uber-backed Moove purchases Brazil’s Kovi in order to continue global expansion.

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ByteDance responds to $12 billion investment in AI Infrastructure

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The Doubao app has been updated with Realtime voice call feature

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Baichuan AI Launches Open-Source Full-Modal Model Omni-1.5

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Anthropic

ByteDance Launches Seed Edge, Doubling Down on AGI Research

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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...

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...