BharatGPT group led by IIT Bombay to launch ‘Hanooman’ a ChatGPT-like service

Posted 27 Feb 2024

Updated 27 Mar 2024

2 min read

Hanooman is a series of Large Language Models (LLMs) that can respond in various Indian languages like Hindi, Tamil, and Marathi.
- It is expected to work in four fields, including health care, governance, financial services, and education.
LLMs are deep learning models that consume and train on massive datasets to excel in language processing tasks.
- They create new combinations of text that mimic natural language based on its training data.
- The training data is usually large datasets including Wikipedia and OpenWebText.

Applications of LLM
- Medical: For tasks like protein structure prediction that can uncover patterns in disease and predict outcomes.
- Retail: To provide enhanced customer experiences through dynamic chatbots.
- Software: To write software and teach robots how to do physical tasks.
- Finance: To summarize earnings calls and create transcripts of important meetings.
- Marketing: To organize customer feedback.

Challenges in developing LLM: Significant capital investment, large datasets, technical expertise, and large-scale compute infrastructure necessary to develop and maintain LLMs.
- Sourcing of quality datasets in Indian languages is a major hurdle in developing LLM in Indian languages.

A GPT is a type of LLM that uses deep learning to generate human-like text.
They are called
- "generative" because they can generate new text based on the input they receive,
- "pretrained" because they are trained on a large corpus of text data before being fine-tuned for specific tasks, and
- "transformers" because they use a transformer based neural network architecture to process input text and generate output text.

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