India ready with BharatGPT – its first LLM (Generative AI)
By MYBRANDBOOK
India is ready with its Large Language Model-based solution - BharatGPT. The solution is a combined effort of CoRover.ai, an AI startup company and the support system of I-HUB Anubhuti dedicated to developing data-driven cognitive computing solutions.
CoRover.ai, the creator of BharatGPT is funded by iHub Anubhuti IIITD Foundation, the Technology Innovation Hub of IIIT Delhi, supported by the Department of Science and Technology, Govt of India.
Saurabh Kumar Chaubey, the CEO – iHUB Anubhuti – IIITD Foundation, when contacted on their engagement with BharatGPT, said, “I am incredibly delighted to see what kind of impact BharatGPT is going to create across the board. We at IIIT Delhi and iHub Anubhuti, the National Innovation Hub for Cognitive Computing & Social Sensing, take pride in the support system we have created to support start-ups, innovators, and academic stakeholders in developing data-driven cognitive computing solutions.”
According to Dr Pushpendra Singh, Professor CSE IIITD and Project Director of iHub Anubhuti IIITD Foundation, “In the fast-paced world of business, time is of the essence. BharatGPT, being a light-weight solution, ensures that implementation is swift and efficient. This not only saves valuable time for organizations but also contributes to a seamless integration process.”
One of the key advantages of LLM capabilities is the heightened focus on data security. BharatGPT, offers a responsible and accurate approach, ensuring that sensitive information is handled with the utmost care. The fact that data remains in India is a game-changer. BharatGPT aligns perfectly with the country's vision of "Make AI in India."
BharatGPT, powered by CoRover's Conversational AI platform, efficiently utilizes computing resources through a multi-layered NLP approach, encompassing NLU, NLG, Deep Learning with Generative AI (unsupervised), supervised learning, AIML, and context-based autosuggestion for diverse user query handling.
Creating and training large language models demands substantial computational resources, involving vast data and high-performance computing infrastructure. Challenges include data quality, biases, resource efficiency, domain-specific adaptation, continual learning, and security. The execution brilliance can be seen in BharatGPT, which is India’s answer to existing Generative AI/Large Language Models.
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