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

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Digiday’s 2024 timeline for transformation

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Character.ai lets users role play with chatbots based on school shooters

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Character.AI will no longer allow its chatbots to romance teenagers

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Character.AI takes teen safety seriously after bots are alleged to have...

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The excellent isometric RPG Underrail is back

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IT gigantite v’zrazhdat iadrenata energetika

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A new robotic surgery procedure was tested at the University of...

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MediaTek: First information about the next high-end chip

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Nvidia AI Blueprint allows developers to easily build automated agents that...

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ByteDance seems to be circumventing US restrictions in order to buy...

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a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time.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