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Park JuHoon

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reacted to Shrijanagain's post with 👀 about 17 hours ago
​We are thrilled to announce the launch of SKT-OMNI-CORPUS-146T-V1, a massive-scale, high-quality dataset designed to power the next generation of Foundation Models (LLMs) from scratch. ​Developed at SKT AI LABS, this corpus is not just a collection of data; it’s a mission to decentralize high-grade AI training for regional languages and global knowledge. ​💎 Key Highlights: ​•• Massive Scale: Targeting a multi-terabyte architecture for 146T-level tokenization. •• ​Pure Quality: Curated from 500+ Elite Sources •• ​Structured for MoE: Perfectly sharded into 3.5GB standardized units (SKT-𝕻 series) for seamless distributed training. ​🤝 Open for Collaboration! ​We are looking for AI researchers, CUDA engineers, and data scientists to join us in this journey of building Project Surya and the ST-X Series models. Whether it's optimization, custom tokenization, or architecture design—let’s build the future together. ​Explore the Dataset on Hugging Face: 🔗 https://huggingface.co/datasets/Shrijanagain/SKT-OMNI-CORPUS-146T-V1 DSR -- 🔗 https://huggingface.co/datasets/Shrijanagain/SKT-DSRx10000 ​#AI #MachineLearning #OpenSource #IndicAI #SKTAILABS #LLM #BigData #HuggingFace #InnovationIndia
reacted to Shrijanagain's post with 🚀 about 17 hours ago
​We are thrilled to announce the launch of SKT-OMNI-CORPUS-146T-V1, a massive-scale, high-quality dataset designed to power the next generation of Foundation Models (LLMs) from scratch. ​Developed at SKT AI LABS, this corpus is not just a collection of data; it’s a mission to decentralize high-grade AI training for regional languages and global knowledge. ​💎 Key Highlights: ​•• Massive Scale: Targeting a multi-terabyte architecture for 146T-level tokenization. •• ​Pure Quality: Curated from 500+ Elite Sources •• ​Structured for MoE: Perfectly sharded into 3.5GB standardized units (SKT-𝕻 series) for seamless distributed training. ​🤝 Open for Collaboration! ​We are looking for AI researchers, CUDA engineers, and data scientists to join us in this journey of building Project Surya and the ST-X Series models. Whether it's optimization, custom tokenization, or architecture design—let’s build the future together. ​Explore the Dataset on Hugging Face: 🔗 https://huggingface.co/datasets/Shrijanagain/SKT-OMNI-CORPUS-146T-V1 DSR -- 🔗 https://huggingface.co/datasets/Shrijanagain/SKT-DSRx10000 ​#AI #MachineLearning #OpenSource #IndicAI #SKTAILABS #LLM #BigData #HuggingFace #InnovationIndia
reacted to Shrijanagain's post with ❤️ about 17 hours ago
​We are thrilled to announce the launch of SKT-OMNI-CORPUS-146T-V1, a massive-scale, high-quality dataset designed to power the next generation of Foundation Models (LLMs) from scratch. ​Developed at SKT AI LABS, this corpus is not just a collection of data; it’s a mission to decentralize high-grade AI training for regional languages and global knowledge. ​💎 Key Highlights: ​•• Massive Scale: Targeting a multi-terabyte architecture for 146T-level tokenization. •• ​Pure Quality: Curated from 500+ Elite Sources •• ​Structured for MoE: Perfectly sharded into 3.5GB standardized units (SKT-𝕻 series) for seamless distributed training. ​🤝 Open for Collaboration! ​We are looking for AI researchers, CUDA engineers, and data scientists to join us in this journey of building Project Surya and the ST-X Series models. Whether it's optimization, custom tokenization, or architecture design—let’s build the future together. ​Explore the Dataset on Hugging Face: 🔗 https://huggingface.co/datasets/Shrijanagain/SKT-OMNI-CORPUS-146T-V1 DSR -- 🔗 https://huggingface.co/datasets/Shrijanagain/SKT-DSRx10000 ​#AI #MachineLearning #OpenSource #IndicAI #SKTAILABS #LLM #BigData #HuggingFace #InnovationIndia
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