Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline

Covered by 2 sources
Read the full article
NVIDIA and AI4Bharat with IIT Madras developed Nemotron-pretraining-Indic-v1, a dataset of 2.8 trillion tokens covering 22 Indian languages, plus an open GPU-accelerated pipeline for data generation and quality checks. This resource aims to boost Indic language AI research by providing extensive curated and synthetic training data, including native scripts and romanized forms, to help overcome data scarcity in Indian language technology.

Covered by 2 sources


More in LLM & Text Generation

Meta releases Muse Spark Open, a new ‘open-weight’ AI model

Covered by 10 sources

Granite Switch 4.1: Chat, Decisions, and Speech from One Endpoint

Covered by 2 sources

Microsoft AI chief says the company beat OpenAI at its own game, using a quarter of the computing power

Business Insider