Technology

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

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Nvidia’s AI Empire: A look at the top startup investments

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Anthropic’s Chief Scientist on 5 ways agents will even be better...

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Musk’s Lawsuit Against OpenAI Gets a Boost From Lina Khan’s FTC

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S Pen could lose Bluetooth in the Galaxy S25 Ultra :...

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Nvidia is bringing a new PC generation, and it will run...

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NVIDIA announced that DLSS 4 would be available on all RTX...

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Technology

iOS 18.2 requirement ups how much storage Apple Intelligence needs

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Google DeepMind researchers introduce a new benchmark to improve LLM factuality...

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OpenAI has started building out its robotics teams

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Elon Musk wants the courts to force OpenAI into auctioning off...

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a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time.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