Technology

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

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HONOR Magic7 Lite

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Asus is developing the ROG Flow Z13 to make more sense...

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Nvidia CEO: PC gaming will never be rendered entirely by AI

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Nvidia’s AI Snake is feeding itself. Announces GeForce GTX 5090 GPU....

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Technology

Nvidia unveils $3,000 desktop AI computer for home researchers

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Technology

Analysts Say Ride the wave but be wary of beginning ‘Blow-Off...

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More and more young people are choosing the agricultural profession, and...

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Top Five Chinese EV startups: Li Auto Leads and Xiaomi Gaining...

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MSI Afterburner prepares for GeForce RTX5080 with expanded support for fan...

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

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a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time.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