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In Focus

Al Developer Tools 2.0

Develop Release Manage

Migrations,
Unit
Al Led
IDE Autocomplete Development Testing PR automation QA Backlog Refactoring &
& Code Review
Cleanup

Indian Scenario AI,’ which includes four main components: Data Processing, each geared toward creating
AI and generative technologies are rapidly Management Office, National Centre for AI, Skilling solutions that streamline citizen services and
gaining traction in India, with applications on AI, and Responsible AI. The ‘IndiaAI’ framework improve administrative efficiencies.
spanning sectors like healthcare, banking, complements this program by providing a focused To make AI accessible and scalable for various
education, and entertainment. Startups are using and comprehensive approach to address specific government agencies, NIC launched AI as a Service
gaps in the AI ecosystem. As one of the largest
generative AI for content creation, automating Global South economies leading the AI race, India (AIaaS) on its Meghraj Cloud in January 2021. This
customer service, and implementing customized has been appointed as the Council Chair of the service allows agencies to tap into AI capabilities
marketing strategies. The government is also Global Partnership on AI (GPAI), securing more without needing to develop or manage complex
encouraging programs that promote AI research than two-thirds of first-preference votes. infrastructure. Here is a comprehensive overview
and development. of NIC’s key AI initiatives that are driving
IndiaAI’s mission-centric strategy emphasizes
Many people in India have used ChatGPT, a bridging gaps in AI infrastructure, including transformation in Indian governance:
chatbot developed by OpenAI, which is built on compute resources, data availability, financing, • AI - Manthan: A versatile platform for creat-
large language models (LLMs). These models research, innovation, targeted skills development, ing, training, and testing AI-based deep learning
interpret and generate content using massive and institutional data management. This models. It simplifies the model development pro-
datasets, primarily trained on English data comprehensive approach is crucial for maximizing cess, making it easier for developers to design
worldwide. However, several Indian companies AI’s impact on India’s progress. effective solutions.
are taking a different approach. They are To further strengthen its AI capabilities, India • AI - Tainaatee: An inference testbed specifical-
developing regional and Indic language models, is establishing multiple Centres of Excellence, ly designed for deploying models created in AI
both large and small, to cater to the linguistic developing a national dataset platform, setting – Manthan. Once models are trained, Tainaatee
diversity of the country. Smaller language models up a Data Management Office for governance, allows them to be tested for real-world deploy-
require fewer but more specialized datasets, and exploring design approaches for indigenous ment, ensuring that they are production-ready.
which are easier to source locally. AI chipsets. Moving forward, MeitY plans to This testbed optimizes model performance for
Key players in this space include Bhavish establish a compute center with 10,000 GPUs, practical applications in government projects.
Aggarwal’s Krutrim, Tech Mahindra’s Indus providing 40 Exaflops of computational power • AI - Tippanee: Annotation tools and services
project, AI4Bharat’s Airawat series, Sarvam AI’s and approximately 200 PB of storage. The focus essential for building reliable AI models. AI – Tip-
OpenHathi series, CoRover.ai’s BharatGPT, and will be on prioritizing AI use cases in Governance, panee provides a suite of tools for tagging, label-
SML India’s Hanooman LLM series. Agriculture, Health, Education, and Finance. ing, and preparing data, which is a crucial step
Other notable generative AI initiatives in India in the machine learning process, especially in
include The Nilekani Center at AI4Bharat, Sarvam Centre of Excellence in Artificial supervised learning scenarios.
AI, Project Vaani (a collaboration between AI and Intelligence (NIC Initiatives) • AI - Satyapikaanan (Face Recognition as a Ser-
Robotics Technology Park at IISC and Google), NIC took a significant leap in advancing AI vice - FRAAS): Satyapikaanan offers API-based
Ozontel (cloud-based communications), and in governance by establishing the Centre of face recognition and liveness detection services.
Swecha Telangana at the Indian Institute of Excellence in Artificial Intelligence in 2019. This This technology has enabled numerous e-gover-
Information Technology-Hyderabad, among pioneering initiative aims to explore, develop, nance applications, such as:
others. and implement AI applications specifically
tailored to enhance public services and • Life Certificate Verification for pen-
NIC & MeitY Initiatives governance structures in India. At its core, the sioners in Meghalaya.
The Ministry of Electronics and Information center focuses on model building in critical • Faceless Services in Regional Trans-
Technology (MeitY) has initiated the areas such as Image and Video Analytics, Speech port Offices (RTOs) for convenient public
implementation of a ‘National Programme on Synthesis and Recognition, and Natural Language service access.

October 2024 informatics.nic.in 23