Key Facts & Data Points
- Sarvam AI unveiled two indigenous LLMs at the India‑AI Impact Summit 2026.
- New models use Mixture of Experts (MoE) architecture, activating only a subset of parameters per query, reducing compute cost.
- IndiaAI Mission (launched March 2024) has an outlay of Rs 10,372 crore.
- Target: 100,000 GPUs in Indian data centres by end‑2026 (currently >36,000 commissioned, 20,000 more to be added).
- Sarvam AI received 4,096 GPUs and subsidies worth ~Rs 100 crore.
- Talent development: support for 13,500+ students; establishment of India Data and AI Labs.
Background & Context
- Large Language Models (LLMs) are transformer‑based neural networks trained on massive text corpora to understand and generate human language.
- Training stages:
- Data Collection & Pre‑processing – gathering diverse text, tokenisation, cleaning.
- Pre‑training (Self‑Supervised Learning) – next‑token prediction using Transformer self‑attention.
- Supervised Fine‑Tuning (Instruction Tuning) – human‑curated prompt‑response pairs.
- Alignment using RLHF – Reinforcement Learning from Human Feedback to ensure safety and ethical outputs.
- Traditional LLMs with hundreds of billions of parameters are compute‑intensive; MoE reduces activation to a few “expert” sub‑networks per query.
Significance for India / Governance / Policy
- Data Sovereignty: Indigenous LLMs trained on Indian datasets mitigate dependence on foreign AI platforms and protect sensitive information.
- Language Inclusivity: Tailoring models for Indian languages improves accessibility in education, healthcare, and public services.
- Economic Boost: Subsidised GPU access and startup incentives foster a domestic AI ecosystem, creating jobs and encouraging open‑source innovation.
- Strategic Autonomy: A robust AI infrastructure aligns with national security and digital governance objectives.
Related Constitutional / Legal Provisions
- Article 19(1)(a) – Freedom of speech and expression; AI models must respect this while ensuring responsible content.
- Data Protection Bill (proposed) – Emphasises consent and security for personal data; sovereign LLMs can be designed to comply.
- National AI Strategy (IndiaAI Mission) – Government policy framework guiding AI research, capacity building, and ethical guidelines.
References
- India‑AI Impact Summit 2026 reports
- IndiaAI Mission official documents (2024‑2026)
- Recent UPSC Prelims question on AI capabilities (2020)