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BharatGPT Hanooman: Revolutionizing AI with Multilingual Capabilities

Reliance's Hanooman: An AI model backed by Mukesh Ambani speeds toward a  March India rollout - The Economic Times


The Hanooman AI model is making waves in the field of artificial intelligence. Developed by a consortium led by Reliance Industries Ltd. and nine Indian Institutes of Technology (IITs), this groundbreaking model aims to address the unique linguistic diversity of India. Let’s delve into the details of this remarkable endeavor.

Key Features of Hanooman

  1. Indic Language Models: Hanooman comprises a series of Indic large language models trained on 22 Indian languages. These models are designed to understand and respond effectively across diverse linguistic contexts.
  2. Size and Parameters: The family of foundational language models ranges up to 40 billion parameters in terms of size. The initial release will include models with parameters of 1.5 billion, 7 billion, 13 billion, and 40 billion. These models will be open-sourced, fostering collaboration and innovation.
  3. Multimodal Capabilities: Hanooman boasts multimodal AI capabilities, enabling it to generate content in various formats:
    • Text-to-Text: Generating textual content.
    • Text-to-Speech: Converting text into spoken language.
    • Text-to-Video: Creating video content from textual input.
  4. Applications and Use Cases:
    • Healthcare: Hanooman can assist healthcare organizations by providing relevant information, answering queries, and aiding in medical research.
    • Governance: It has potential applications in government services, improving citizen engagement and accessibility.
    • Financial Services: Hanooman can enhance customer interactions, automate processes, and provide personalized financial advice.
    • Education: It can support e-learning platforms, language translation, and educational content creation.

Challenges and Future Prospects

  1. Quality Datasets: Building Indian language models faces challenges related to sourcing high-quality datasets. Improving the quality of text, audio, and video data in Indian languages remains a priority.
  2. Expansion to All Languages: While Hanooman currently responds in 11 Indian languages, the goal is to extend its capabilities to cover all 22 Indian languages.


The launch of Hanooman represents India’s commitment to advancing AI technology while embracing linguistic diversity. As this model evolves, it holds immense promise for various sectors, bridging language barriers and empowering users across the nation.

Stay tuned for the official release of BharatGPT Hanooman next month, and witness the future of AI in India! 🚀🇮🇳