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BharatGPT Introduces Hanooman Language Series

In the ever-evolving landscape of artificial intelligence (AI), a groundbreaking development is on the horizon that promises to reshape how we interact with technology, particularly in the Indian context. The BharatGPT group, spearheaded by the prestigious IIT Bombay alongside seven other esteemed Indian engineering institutes, has unveiled its latest endeavor: the Hanooman series.

Hanooman to Empower 1.2 Billion Internet Users Across the Country with AI

In addition to its multifaceted applications across various sectors, Hanooman holds the transformative potential to empower India’s vast population of internet users, estimated at 1.2 billion. In a country as linguistically diverse as India, access to AI technologies tailored to local languages is instrumental in bridging the digital divide and fostering inclusive digital participation.

Everything You Need to Know About Hanooman

Hanooman represents a paradigm shift in the realm of AI, specifically tailored to cater to the linguistic diversity of India. This series of large language models (LLMs) boasts the capability to respond in 11 Indian languages initially, with ambitious plans to expand its linguistic repertoire to encompass more than 20 languages. This inclusivity is crucial in ensuring that the benefits of AI technology are accessible to all segments of Indian society.

Hanooman: Revolutionizing AI Across Sectors

Unlike conventional chatbots, Hanooman transcends mere text-based interactions. It is a multimodal AI tool, adept at generating text, speech, videos, and more across various Indian languages. This versatility positions Hanooman as a versatile solution with applications spanning across diverse sectors, including healthcare, governance, financial services, and education.

The Challenges and Innovations Behind Hanooman

The journey towards developing Hanooman has not been devoid of challenges. Vishnu Vardhan, the Founder of Seetha Mahalaxmi Healthcare (SML), emphasized the hurdles posed by the quality of datasets in Indian languages. Synthetic datasets, derived from translations, pose a risk of inaccuracies or distortions, highlighting the need for meticulous curation and validation of training data.

The Landscape of Indian AI Beyond Hanooman

Beyond BharatGPT, a burgeoning ecosystem of startups such as Sarvam and Krutrim are also venturing into the domain of AI tailored for the Indian market. With backing from prominent VC investors and industry stalwarts, these endeavors signify a growing recognition of the transformative potential of AI in addressing India’s unique challenges and opportunities.

Unveiling the Power of Large Language Models

At the heart of this AI revolution lie large language models (LLMs), powered by deep learning techniques. By processing vast amounts of text data, LLMs like Hanooman discern patterns, meanings, and relationships within languages, thereby enabling sophisticated natural language processing capabilities.

The Training Data Driving AI Innovation

The training data fueling these LLMs comprises extensive datasets sourced from diverse repositories such as Wikipedia, OpenWebText, and the Common Crawl Corpus. It is through this data deluge that AI models like Hanooman gain the acumen to comprehend and articulate natural language with remarkable fluency and nuance.

A Glimpse into the Future with Hanooman

As the launch of Hanooman looms on the horizon, it heralds a new era in Indian AI, one characterized by linguistic inclusivity, technological innovation, and societal impact. With its multifaceted capabilities and unwavering commitment to addressing indigenous challenges, Hanooman embodies the promise of AI as a force for positive change in India and beyond.