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

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The smart glasses can be purchased for as little as $295...

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ChatGPT continues its dominance, but this Google AI Tool is gaining...

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The Download: Google Project Astra and China’s Export Bans

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Google Deepmind’s new forecaster is better than the competition

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Altman admits that ChatGPT Pro is struggling to make a profit...

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Nvidia’s RTX-5090 with 32GB GDDR7 Memory

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Rumors suggest that next-gen RTX50 GPUs will have big jumps in...

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Apple AI Yao Qiu Xi Jie ,Jiu Ji Wei ,7GB Chu...

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Small language models: 10 Breakthrough Technologies by 2025

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GPT-5 has a problem that could slow the advance of Artificial...

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a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time.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