Why is it in the News?

Homegrown generative artificial intelligence (GenAI) platform Hanooman went live in 98 global languages, including 12 Indian languages recently.

What is the ‘Hanooman’ Platform?

• Hanooman is India's Gen AI platform, launched in 98 languages including 12 Indian languages such as Hindi, Marathi, Gujarati, Bengali, Kannada, Odia, Punjabi, Assamese, Tamil, Telugu, Malayalam, and Sindhi.
• Abu Dhabi-based AI investment firm 3AI Holding Limited and SML India have built this indigenous platform.
• Named after the revered Hindu deity Hanuman, known for his unparalleled strength, wisdom, and devotion, Hanooman embodies the core principles of intelligence, agility, and resilience.
• The development of Hanooman was driven by a vision to create an AI platform that combines human-like intelligence with advanced machine-learning capabilities to tackle complex problems and drive innovation across diverse domains.

Key Features and Capabilities:

• Natural Language Understanding (NLU): Hanooman boasts advanced NLU capabilities that enable it to understand and interpret human language with remarkable accuracy.
  • Whether it's processing text, speech, or multimedia content, Hanooman can analyze and extract meaningful insights to facilitate intelligent decision-making.
• Contextual Awareness: Hanooman is equipped with contextual awareness technology that allows it to understand the context of a given situation and adapt its responses accordingly.
  • This enables Hanooman to provide personalized recommendations, anticipate user needs, and deliver tailored experiences across various applications and interfaces.
• Deep Learning and Neural Networks: Leveraging state-of-the-art deep learning algorithms and neural networks, Hanooman is capable of learning from vast amounts of data and continuously improving its performance over time.
  • This enables Hanooman to tackle complex problems, such as image recognition, natural language processing, and predictive analytics, with unparalleled accuracy and efficiency.
• Multi-Modal Learning: Hanooman supports multi-modal learning, allowing it to process and integrate information from multiple sources, including text, images, and audio.
  • This enables Hanooman to understand and analyze complex data sets more comprehensively, leading to more informed decision-making and actionable insights.

Applications and Uses:

• Healthcare: Hanooman can be used to analyze medical imaging data, diagnose diseases, and develop personalized treatment plans based on individual patient profiles.
• Finance: It can analyze market trends, predict financial risks, and optimize investment strategies to maximize returns and minimize losses.
• Manufacturing: It can optimize production processes, detect anomalies in manufacturing equipment, and improve quality control measures to enhance operational efficiency and reduce downtime.
• Retail: It can analyze customer data, personalize marketing campaigns, and optimize inventory management to drive sales and increase customer satisfaction.

Why is it in the News?

Recently, the BharatGPT group, led by IIT Bombay along with seven other elite Indian engineering institutes announced that it would launch its first ChatGPT-like service next month.

What is Hanooman?

• Hanooman is a series of large language models (LLMs) that can respond in 11 Indian languages like Hindi, Tamil, and Marathi, with plans to expand to more than 20 languages.
• It is unveiled by Seetha Mahalaxmi Healthcare (SML) in partnership with the IIT Bombay-led BharatGPT ecosystem.
  • The BharatGPT group, which is backed by Reliance Industries.
• Hanooman has been designed to work in four fields, including health care, governance, financial services, and education.
•  According to BharatGPT, the series isn’t just a chatbot but It is a multimodal AI tool, which can generate text, speech, videos and more in multiple Indian languages.
• One of the first customised versions is VizzhyGPT, an AI model fine-tuned for healthcare using reams of medical data.
  • The size of these AI models ranges from 1.5 billion to a whopping 40 billion parameters.

Are There Any Other Indian Language Models?

• Apart from BharatGPT, a host of different startups like Sarvam and Krutrim, backed by prominent VC investors such as Lightspeed Venture Partners and billionaire Vinod Khosla’s fund, are also building AI models customised for India

What are Large Language Models (LLMs)?

• Large language models use deep learning techniques to process large amounts of text.
• They work by processing vast amounts of text, understanding the structure and meaning, and learning from it.
• LLMs are ‘trained’ to identify meanings and relationships between words.
  • The greater the amount of training data a model is fed, the smarter it gets at understanding and producing text.
• The training data is usually large datasets, such as Wikipedia, OpenWebText, and the Common Crawl Corpus.
• These contain large amounts of text data, which the models use to understand and generate natural language.