Technology

Enterprise AI Without GPU Burn: Salesforce’s xGen-small Optimizes for Context, Cost,...

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Apple AirPods Pro 3 monitor heart rate and bring health functions

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And Androids will soon be able to use Apple AirDrop?

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Travelling soon? Apple AirTags

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I have tried ChatGPT on WhatsApp and it is clear to...

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How to create AI generated images in WhatsApp

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Meta AI has a monthly user base of ‘nearly 600 million’

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More productivity, more creativity: Win a Chromebook Plus with full AI...

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[iPhonedeGoogle AIwoHuo Yong shiyou] iOSYong GeminiapuriGong Kai , Hui Hua dekiru[Live]...

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Google DeepMind presents Veo 2: The latest version of the AI...

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Google DeepMind unveils Veo 2: an advanced video model to compete...

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a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time.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