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𝗜𝗡𝗩𝗔-𝗔𝗜-𝗛𝗘𝗥𝗔𝗟𝗗 - 🇮🇳 𝗡𝗩𝗜𝗗𝗜𝗔 𝗮𝗻𝗱 𝗜𝗜𝗧 𝗠𝗮𝗱𝗿𝗮𝘀 𝗗𝗲𝘃𝗲𝗹𝗼𝗽 𝗮 𝟮.𝟴-𝗧𝗿𝗶𝗹𝗹𝗶𝗼𝗻-𝗧𝗼𝗸𝗲𝗻 𝗗𝗮𝘁𝗮𝘀𝗲𝘁 𝗳𝗼𝗿 𝗜𝗻𝗱𝗶𝗮𝗻 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀

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𝗜𝗡𝗩𝗔-𝗔𝗜-𝗛𝗘𝗥𝗔𝗟𝗗 📰 𝗔𝗜 𝗡𝗘𝗪𝗦 1. 🇮🇳 𝗡𝗩𝗜𝗗𝗜𝗔 𝗮𝗻𝗱 𝗜𝗜𝗧 𝗠𝗮𝗱𝗿𝗮𝘀 𝗗𝗲𝘃𝗲𝗹𝗼𝗽 𝗮 𝟮.𝟴-𝗧𝗿𝗶𝗹𝗹𝗶𝗼𝗻-𝗧𝗼𝗸𝗲𝗻 𝗗𝗮𝘁𝗮𝘀𝗲𝘁 𝗳𝗼𝗿 𝗜𝗻𝗱𝗶𝗮𝗻 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀  📰 𝗪𝗛𝗔𝗧 𝗛𝗔𝗣𝗣𝗘𝗡𝗘𝗗 !! NVIDIA, working with IIT Madras and AI4Bharat, introduced plans for a synthetic pretraining corpus spanning 22 Indian languages, totalling approximately 2.8 trillion tokens. The accompanying open generation recipe documents a GPU-accelerated workflow for translating curated English material into Indian languages, assessing quality and repairing weaker translations. The corpus includes native-script data for all 22 languages and romanised versions for 12. The full training dataset is described as forthcoming, so it should not yet be represented as a completed public download. The effort addresses a key bottleneck for Indian-language AI: insufficient high-quality training data. 🧠 𝗪𝗛𝗔𝗧 𝗖𝗔𝗡 𝗜𝗧 𝗗𝗢? The pipeline combines translation, automated quali...
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INVA-AI-HERALD

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  🤖 𝗜𝗡𝗩𝗔-𝗔𝗜-𝗛𝗘𝗥𝗔𝗟𝗗 📰 𝗔𝗜 𝗡𝗘𝗪𝗦 1. 🔬 𝗚𝗼𝗼𝗴𝗹𝗲 𝗢𝗽𝗲𝗻𝘀 𝗗𝗲𝗲𝗽 𝗥𝗲𝘃𝗶𝗲𝘄 𝘁𝗼 𝘁𝗵𝗲 𝗣𝘂𝗯𝗹𝗶𝗰 𝗳𝗼𝗿 𝗩𝗲𝗿𝗶𝗳𝘆𝗶𝗻𝗴 𝗖𝗼𝗺𝗽𝗹𝗲𝘅 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝘀 📰 𝗪𝗛𝗔𝗧 𝗛𝗔𝗣𝗣𝗘𝗡𝗘𝗗 !! Google Research has opened Deep Review to the public, expanding a system first used to review technical and scientific submissions into a tool for checking complex documents such as Google Docs, presentations, research manuscripts and legal agreements. The system has already been used across more than 𝟭𝟲,𝟬𝟬𝟬 𝘀𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀 connected with major computer-science conferences. Rather than merely summarising a document, it aims to test claims against evidence, inspect logical consistency and flag passages that need closer verification. The release responds to a growing review bottleneck as AI-generated technical writing becomes more common. Human authors remain responsible for final judgements. 🧠 𝗪𝗛𝗔𝗧 𝗖𝗔𝗡 𝗜𝗧 𝗗𝗢? Deep Review analyses lengthy...
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