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

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Key Nvidia Partner unveils a tiny Mini PC build for AI...

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How to map OpenAI ChatGPT Advanced voice mode to your iPhone...

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The year of AI: how ChatGPT, Gemini and Apple Intelligence have...

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Strava closes the gates to sharing fitness data with other apps

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Tessl raises $125M with a valuation of $500M+ to build AI...

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Apple warns investors that its new products may not be as...

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How AI will shape content and advertising in 2025

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This Chinese company has what it takes to compete with ChatGPT

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The OnePlus 12 is now trading at a 45% discount now...

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Here are the best iPhone apps for editing and shooting video

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a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time.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