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Hanooman AI: Series, Challenges, Benefits, Concerns & UPSC Notes

Also Read Hanooman AI: Series, Challenges, Benefits, Concerns & UPSC Notes in Hindi

Syllabus

General Studies Paper III

Topics for Prelims

Hanooman AI

Topics for Mains

Science & Technology

‘Hanooman AI’, India’s homegrown multilingual GenAI platform. The BharatGPT group, led by IIT Bombay and seven other prestigious Indian engineering institutes, revealed strategies to present its ChatGPT-like service.

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What Is Hanooman AI Platform?

Seetha Mahalaxmi Healthcare (SML) and the BharatGPT recently introduced the 'Hanooman' series of Indic language models. A team of Indian developers creates Hanooman AI. They aim to build AI for Bharat. The BharatGPT group has unveiled 'Hanooman', a series of large language models (LLMs) capable of responding in 11 Indian languages, with plans to expand to over 20 languages. 

  • Hanooman was developed for use in the governance, healthcare, financial services, and education sectors.
  • It is a multimodal AI tool that can generate speech, text, videos, and more in numerous Indian languages.
  • One customized version, VizzhyGPT, is tailored for healthcare.
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Hanooman series

Seetha Mahalaxmi Healthcare (SML) revealed the Hanooman series LLM in February 2024 in collaboration with the Bharat GPT Consortium. Among the Hanooman series, the first four AI models—1.5 billion, 7 billion, 13 billion, and 40 billion parameters in size—will be made available as open-source after being trained in 22 Indian languages. The ability to generate text-to-text, text-to-video, speech synthesis and speech recognition will be aided by Hanooman's multimodal learning capability.

  • SML is negotiating with healthcare organizations, BFSI, and mobile app developers to create customized models by refining the Hanooman series.
  • The healthcare model VizzhyGPT is the first of these refined iterations, having been trained on extensive multiomics, clinical research, and electronic health record data.
  • Hanooman's alpha version lacks multimodal features and internet access.
  • It was launched on May 10, 2024, in 98 international languages, including 12 Indian languages: Hindi, Marathi, Gujarati, Bengali, Kannada, Odia, Punjabi, Assamese, Tamil, Telugu, Malayalam, and Sindhi.
  • It enables tutoring, coding, and conversation. The platform collaborates with NASSCOM, Hewlett-Packard, and the government of Telangana. Yotta Infrastructure will supply GPU cloud infrastructure.
  • As of May 14, 2024, the Hanooman chatbot is accessible via both a web client and an Android application.
  • Hanooman is jointly owned by SML and 3AI Holding Limited, an AI investment company based in Abu Dhabi.
  • Both businesses will own a 50% share under a joint ownership arrangement.
  • In order to improve Hanooman's text, voice, image, and coding capabilities for users.
  • It will be able to access 3AI Holding's Omega GenAI, which is being created with 665 billion parameters and 20 trillion tokens.
  • For business clients, Hanooman will launch a proprietary model.

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It refers to deep-learning models that can take raw data and "learn" to generate statistically probable outputs when prompted. It is powered by foundation models (large AI models) that can multi-task and perform out-of-the-box tasks, including summarization, Q&A, classification, and more.

  • With minimal training required, foundation models can be adapted for targeted use cases with very little example data.
  • It works by using a Machine Learning model to learn the patterns and relationships in a dataset of human-created content.
  • It then uses the learned patterns to generate new content.

Also Read Cybercrime Notes For UPSC Here!

Benefits and Challenges of AI models

Benefits

Challenges 

  • Boosted Efficiency: LLMs help save time by doing language tasks like translating, summarising, and creating content automatically, which makes work smoother and faster.
 
  • Support for Different Languages: LLMs can understand and work with many languages and dialects which makes it easier for people from different language backgrounds to communicate.
 
  • Ease of discovering Insights: LLMs can look at big amounts of text data and find important information and trends which help researchers and businesses learn more from their data
  • Quality of Datasets: There are issues of quality datasets in the Indian language as this AI model can communicate in 11 languages.
 
  • High probability of Inaccuracy: The synthetic datasets generated artificially can create inaccurate answers.
 
  • Bias and Fairness: LLMs may unknowingly carry biases from the data they learn from, resulting in unfair treatment towards certain groups or people.
 
  • Security Risks: LLMs might be vulnerable to attacks where bad inputs are used to trick them into giving wrong results.

Concerns and Considerations

Hanooman AI is a strong tool, but it faces some real concerns. Poor internet access in rural areas limits its use. Many students and teachers lack digital literacy, making it hard to use the tool properly. The cost of smart devices and data packs is another barrier. Some users also worry about data privacy and the accuracy of AI-generated answers. For better adoption, the government and developers must work together to ensure safe, reliable, and equal access to Hanooman AI across India.

  • Competition: Alongside BharatGPT, several startups like Sarvam and Krutrim, supported by prominent VC investors such as Lightspeed Venture Partners, are developing AI models tailored for India, indicating a burgeoning ecosystem in this domain.
  • Quality of Datasets: Concerns regarding the quality of datasets in Indian languages, emphasizing the prevalence of synthetic datasets derived from translations, may lead to inaccuracies or distortions.

Also Read 5G Technology Notes For UPSC Here!

Key Takeaways on Hanooman AI For UPSC Aspirants!

Multilingual Support: Hanooman AI is trained in 22 Indian languages and supports 98 global languages, including 12 Indian vernaculars like Hindi, Tamil, Bengali, and Gujarati, increasing accessibility across India's diverse linguistic landscape.

 

Multimodal Capabilities: Beyond text, Hanooman can process and generate speech, video, and images, enabling applications like voice-based tutoring and video content creation.

 

Open-Source and Enterprise Models: Hanooman offers open-source models ranging from 1.5B to 40B parameters for developers, as well as closed-source versions tailored to enterprise needs in sectors like healthcare and finance.

 

Sector-Specific Applications: Designed to serve key areas such as healthcare, education, governance, and financial services, with specialized models like VizzhyGPT for healthcare.

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