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

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Nintendo patents AI scaling on Switch 2

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OpenAI ne vypolnila obeshchanie po sozdaniiu instrumenta dlia zashchity avtorskikh prav...

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These Nothing Earbuds have built-in ChatGPT support and are now at...

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Microsoft says it won’t use your Word and Excel data for...

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These are the most in-demand developer skills in 2025

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Microsoft teases AI translator that can translate speech in the real...

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Flashback: This was the biggest Android news of last year

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Smart home at CES 2020: AI and Matter will be the...

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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a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time.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...