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Hugging Face & Nvidia Scale Indic Language AI with 2.8T Tokens

By PulseAugur Editorial · [1 sources] ·

Hugging Face and Nvidia have collaborated on a project to scale pretraining for Indic languages, processing an immense 2.8 trillion tokens. This initiative includes the development of an open data generation pipeline to support this effort. The goal is to advance AI capabilities for a diverse range of languages. AI

IMPACT This effort could significantly advance AI capabilities and accessibility for a wide array of Indic languages, potentially leading to new applications and services.

RANK_REASON The cluster describes a large-scale pretraining effort for Indic languages, including an open data generation pipeline, which falls under research and infrastructure development in AI. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Hugging Face & Nvidia Scale Indic Language AI with 2.8T Tokens

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The cluster describes a large-scale pretraining effort for Indic languages, including an open data generation pipeline, which falls under research and infrastructure development in AI. [lever_c_dem…
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline https://huggingface.co/blog/nvidia/scaling-indic-pretraining # MachineLearni

    Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline https://huggingface.co/blog/nvidia/scaling-indic-pretraining # MachineLearning # OpenSource # AI

    LINKS huggingface.co/…/scaling-indic-pretraining

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