News

A Deep Technical Dive into Next-Generation Interoperability Protocols: Model Context Protocol...

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Anthropic

Apple TV+ now available on Android devices

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Anthropic

Baidu’s Ernie Bot will be free starting April 1

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DeepMind

Google AI boss believes DeepSeek costs to be’misleading and exaggerated’.

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Adobe Firefly has created a text to video model that leaves...

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OpenAI promises to simplify its product range

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OpenAI delays o3 model launch, will instead wrap it up with...

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Anthropic CEO Dario Amodei warned: AI will match the ‘country of...

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If Google’s cookie phase out ever happens, here’s how Rankin Carroll,...

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Google Gemini will add its AI researcher to your iPhone, if...

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US pharma giant Merck backs healthcare marketplace HD in Southeast Asia

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Education

ZeroSearch from Alibaba Uses Reinforcement Learning and Simulated Documents to Teach...

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Understanding the Dual Nature of OpenAI

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Lightricks Unveils Lightning-Fast AI Video

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Education

Fine-tuning vs. in-context learning: New research guides better LLM customization for...

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ZeroSearch from Alibaba Uses Reinforcement Learning and Simulated Documents to Teach...

Large language models are now central to various applications, from coding to academic tutoring and automated assistants. However, a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time. This creates a fundamental challenge because the language models cannot...