Rapid Fire
BharatGen: India’s First AI Multimodal LLM
- 05 Jun 2025
- 3 min read
The Union Minister of State (IC) for Science & Technology launched “BharatGen LLM” at the BharatGen Summit 2025.
BharatGen
- About: It is India’s first indigenously developed, government-funded Multimodal Large Language Model (LLM) in 22 Indian languages.
- Multimodal LLMs are large language models trained on diverse data types (text, images, audio, and video), enabling them to understand and interpret complex human language and multimedia.
- They overcome limitations of unimodal models (such as earlier versions of ChatGPT) by providing cohesive responses across multiple data forms.
- Multimodal LLMs are large language models trained on diverse data types (text, images, audio, and video), enabling them to understand and interpret complex human language and multimedia.
- Developed Under: National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS), implemented by the TIH Foundation for IoT and IoE at IIT Bombay.
- NM-ICPS was launched in 2018 by the Ministry of Science and Technology to promote innovation and R&D in Cyber-Physical Systems (CPS) and new-age technologies.
- Objectives: Promote ethical, inclusive, multilingual AI rooted in Indian values, provide region-specific solutions in healthcare, agriculture, education, and governance, and boost rural telemedicine with AI doctors speaking native languages.
|
Feature / Aspect |
Large Language Models (LLMs) |
Generative Adversarial Networks (GANs) |
Autoregressive Models (ARMs) |
|
Definition |
AI models trained on large text data to generate human-like language |
AI models with two networks (Generator & Discriminator) that generate realistic content |
Models that predict next value/token based on past sequence |
|
Key Purpose |
Text generation, translation, summarization |
Image generation, deepfakes, data enhancement |
Sequence modeling (text, speech, time-series) |
|
Content Type |
Primarily text |
Primarily images, videos, or audio |
Any sequential data (text, numbers, audio) |
|
Relation to Generative AI |
A subset of generative AI for text |
A type of generative AI for media content |
A technique used in both LLMs and time-series models |
|
Examples |
GPT-4, PaLM2, LLaMA |
StyleGAN, CycleGAN |
GPT, WaveNet, PixelRNN |
| Read More: Large Language Models, National Mission on Interdisciplinary Cyber-Physical Systems |
