The need to develop good Indic datasets in order to create effective Indic language models (LLMs) in India is a challenging endeavor due to the country’s linguistic diversity. While initiatives like Project Vaani, AI4Bharat, and Bhashini are making efforts to collect datasets for Indic languages, the volume of available data is still relatively small. Collecting data requires digitization of books, collaboration with linguists, content creation workshops, and partnerships with local institutions. Companies like Tech Mahindra and Swecha Telangana have sent teams to collect data from various regions and engaged communities in data collection efforts. However, building good datasets for all 22 official languages will take time and requires a unified and collaborative endeavor. Open-source approaches are being adopted by many initiatives to promote transparency and inclusivity in advancing linguistic technologies in India.
India’s Push for Indic Language Models Faces Data Challenge
Date:
Updated: [falahcoin_post_modified_date]
More like thisRelated
Revolutionary Small Business Exchange Network Connects Sellers and Buyers
Revolutionary SBEN connects small business sellers and buyers, transforming the way businesses are bought and sold in the U.S.
District 1 Commissioner Race Results Delayed by Recounts & Ballot Reviews, US
District 1 Commissioner Race in Orange County faces delays with recounts and ballot reviews. Find out who will come out on top in this close election.
Fed Minutes Hint at Potential Rate Cut in September amid Economic Uncertainty, US
Federal Reserve minutes suggest potential rate cut in September amid economic uncertainty. Find out more about the upcoming policy decisions.
Baltimore Orioles Host First-Ever ‘Faith Night’ with Players Sharing Testimonies, US
Experience the powerful testimonies of Baltimore Orioles players on their first-ever 'Faith Night.' Hear how their faith impacts their lives on and off the field.
