Hanooman: The Indic AI model

February 26, 2024

GS Paper III Science and Technology

Context:

HANOOMAN

The BharatGPT group, headed by IIT Bombay and seven other prestigious Indian engineering institutes, revealed plans to introduce its own ChatGPT-like service.

Hanooman: By Seetha Mahalaxmi Healthcare (SML) and the BharatGPT

Seetha Mahalaxmi Healthcare (SML) and the BharatGPT recently introduced the ‘Hanooman’ series of Indic language models.

What are LLMs?

Large language models (LLMs) use deep learning techniques to understand extensive text data.
Their function involves processing large volumes of text, understanding its structure and significance, and deriving insights from it.
LLMs undergo training to recognize meanings and correlations among words.
- It enhances their ability to understand and generate text.
The effectiveness of LLMs improves as they receive more training data.
Training data for LLMs typically comprises Wikipedia, OpenWebText, and the Common Crawl Corpus.
These datasets consist of large text information that the models use to understand and produce human-like language.

What is Hanooman?

Hanooman is a series of large language models (LLMs).

It can communicate in 11 Indian languages like Hindi, Tamil, and Marathi.
The size of these AI models varies from 1.5 billion to a massive 40 billion parameters.

Features and Applications

HANOOMAN

Hanooman is not just a chatbot but a multimodal AI tool.
It can produce text, speech, videos, and more in multiple Indian languages.
It has been designed to serve four key areas: healthcare, governance, financial services, and education.

Customized Versions:

One of the customized versions is VizzhyGPT, fine-tuned specifically for healthcare.
- It uses extensive medical data to enhance its performance.

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.

Also Read: Global Partnership On Artificial Intelligence – GPAI

News Source: Indianexpress

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