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扩展印度语言预训练：2.8万亿个标记和开放数据生成管道Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline

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以下内容为 AI 自动翻译，英文原文附后供参考。

摘要

NVIDIA与印度理工学院马德拉斯合作创建了一个开创性的预训练语料库，名为Nemotron-pretraining-Indic-v1，包含约2.8万亿个标记，涵盖22种不同的印度语言。该数据集旨在改善印度语言模型的训练数据的可获取性和质量，填补这些语言资源的重大空白。此外，该项目还包括一个开放数据生成管道，使开发者能够生成符合其特定需求的定制数据集，从而促进印度语言自然语言处理领域的创新和研究。

NVIDIA and IIT Madras have collaborated to create a groundbreaking pretraining corpus named Nemotron-pretraining-Indic-v1, which consists of around 2.8 trillion tokens across 22 different Indian languages. This substantial dataset is designed to improve the accessibility and quality of training data for Indic language models, addressing a significant gap in resources for these languages. Additionally, the initiative includes an open data generation pipeline, enabling developers to generate customized datasets tailored to their specific needs, thereby fostering innovation and research in the field of natural language processing for Indic languages.

要点

  1. 新数据集包含2.8万亿个标记，显著扩展了印度语言模型的资源。

    The new dataset contains 2.8 trillion tokens, significantly expanding the resources available for Indic language models.

  2. 开放数据生成管道允许开发者创建定制数据集，促进个性化和灵活性。

    An open data generation pipeline allows developers to create tailored datasets, promoting customization and flexibility.

  3. 该倡议旨在增强印度语言在AI应用和研究中的表现。

    This initiative aims to enhance the representation of Indian languages in AI applications and research.

为何重要

这一发展对于提升在代表性不足语言中的AI能力至关重要，确保技术对多样化人群更加包容和可获取。

This development is crucial for advancing AI capabilities in underrepresented languages, ensuring that technology is more inclusive and accessible to diverse populations.

按谁的角度看

产品经理

对于产品经理而言，该倡议为开发面向更广泛受众的产品提供了新机会，利用高质量的印度语言数据集。

For product managers, this initiative opens up new opportunities to develop products that cater to a wider audience by leveraging high-quality datasets for Indic languages.

开发者

开发者可以利用开放数据生成管道创建专业数据集，增强他们的项目并促进印度语言NLP应用的发展。

Developers can utilize the open data generation pipeline to create specialized datasets, enhancing their projects and contributing to the growth of NLP applications in Indic languages.

学生与求职者

学生和求职者可以通过获得丰富的数据集来受益于这一倡议，为研究和项目提供支持，使他们在印度语言AI进步的前沿。

Students and job-seekers can benefit from this initiative by gaining access to rich datasets for research and projects, positioning themselves at the forefront of advancements in AI for Indic languages.

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