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India is at the cusp of a significant breakthrough in generative AI, particularly in Indic language models. Traditionally, these models have relied on the foundational works of global giants like Meta and Mistral.
However, the Indian research community, driven by a vision of innovation and self-reliance, is now shifting gears to develop these models from the ground up. A pivotal player in this movement is BharatGPT.
Ganesh Ramakrishnan, a professor at IIT Bombay and a leading figure in the BharatGPT initiative, spoke with AIM about this paradigm shift. "The need for an indigenous foundational model for Indic languages is undeniable," he asserts. Ramakrishnan's commitment is palpable as he describes the process: "We are building foundational models from scratch, and that is keeping us busy."
This initiative marks a significant step in placing India on the global AI map, underscoring the nation's growing prowess in artificial intelligence.
BharatGPT, developed by CoRover.ai, an AI startup, is funded by iHub Anubhuti IIITD Foundation and supported by the Department of Science and Technology, Government of India. The collaboration of these entities signifies a collective effort to push the frontiers of cognitive computing solutions and to cement India’s position in the global AI map.
At its core, BharatGPT seeks to bridge the linguistic divide, offering support for over 14 Indian languages. This initiative not only caters to the linguistic diversity of India but also aims to preserve the nation’s rich cultural heritage in the digital age. The platform’s ability to handle text, voice, and video interactions in multiple languages sets a new standard in conversational AI.
BharatGPT, through its partnership with Google Cloud, elevates its capabilities, leveraging robust cloud services to offer an advanced chatbot experience. The platform's ChatBot as a Service (CaaS) model facilitates the creation, customization, and continuous improvement of chatbots, enhancing user engagement and experience. This integration of contextual Generative AI (LLM) and accelerated Machine Learning marks a significant stride in developing virtual assistants and conversational AI.
The platform is not just a technological marvel; it extends its applications to various sectors, such as customer support, HR, sales, marketing, and finance. Features like Aadhar-based KYC authentication, sentiment analysis, and sophisticated word embedding techniques underscore its potential to transform industry practices.
BharatGPT aligns with India's substantial contribution to global AI projects by echoing the open-source spirit. The initiative emphasizes creating AI solutions and building a full-stack AI ecosystem. The goal is to make generative AI universally accessible and encourage community participation in improving the models.
A key aspect of BharatGPT’s development is its focus on the intricacies of Indian languages. Recognizing these languages' grammatical and structural uniqueness, the platform builds models specifically tailored to address these complexities, ensuring an effective and accurate AI solution for the Indian context.
While the aspiration to build foundational models from scratch is laudable, it comes with challenges, including the need for substantial computational resources and ethical data collection. The future of BharatGPT hinges on successful collaborations between academia and the private sector to overcome these hurdles and to foster high-quality, original research in AI.
BharatGPT represents a groundbreaking step in India's journey towards AI leadership. By combining technological innovation with a commitment to cultural preservation, BharatGPT is well-positioned to impact the AI landscape significantly, not just in India but globally.
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