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

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AMD

Fast break AI: Databricks helps Pacers reduce ML costs by 12,000X%...

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AMD

AMD may price its Radeon RX 9070 Series to undercut Nvidia’s...

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Anthropic

CATL has established a team to independently develop industrial robots

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Watch out for Nvidia. OpenAI’s proprietary AI chips is coming

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Elon Musk Offers To Buy OpenAI With A $94.7B Bid :...

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OpenAI custom chip project is a challenge to Nvidia’s dominance.

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Hackers are selling 20 million OpenAI credentials, but there is no...

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Elon Musk comments on China’s DeepSeek at WELT summit

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How Media By Mother CEO wrote a quick and noteworthy pitch...

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Anthropic

The vivo V50e chipset, Android version, and RAM are revealed

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a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time.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