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  1. Scalable: BharatGPT-Z can handle large volumes of queries and conversations, making it suitable for both small and large-scale deployments. Explore the endless possibilities of BharatGPT-Z and revolutionize the way you interact with technology.

  2. Jun 15, 2024 · Deploying BharatGPT involves several critical steps: Infrastructure Setup: Utilizing cloud platforms like AWS, Azure, or GCP to provide scalable computing resources. Containerization: Using Docker to create portable and consistent environments for the model.

  3. Mar 18, 2024 · BharatGPT is an advanced Generative AI model developed through a collaboration between Reliance Jio and IIT Bombay. It is specifically designed to cater to India’s linguistic diversity, supporting communication in over 14 Indian languages through voice modality and 22 languages for text modality.

  4. Jun 3, 2024 · BharatGPT’s Multilingual Edge: Will It Nurture An Inclusive Culture? According to a recent IBM survey, about 59% of Indian enterprises (companies with more than 1K employees) actively use AI in...

  5. Jan 23, 2024 · When it comes to India and generative AI, all of the recent Indic language models have been built on top of models built by Meta or Mistral. The Indian research community, though is rising up in the realm, wants to build models from scratch, and that is where BharatGPT is finding its moat.

  6. Jan 17, 2024 · Forging ahead is the initiative led by IIT Bombay for building foundational AI models called BharatGPT, a government-backed initiative, which aims to build multilingual and multimodal models through a public private partnership (PPP).

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  8. CoRover has partnered with Google to scale BharatGPT, BharatGPT is hosted in Google CloudPlatform (GCP) to ensure data sovereignty, privacy, and security. Additionally, Vertex AI is integrated with CoRover’s Conversational AI platform, allowing organizations to utilize Google’s AI services.