AI Model Factory
A Small Language Model (SLM) initiative led by Dr. Utpal Chakraborty to build & democratize purposeful AI Models for India. (Applied under the Govt. of India mission for building sovereign Foundational AI Models)
Why Sovereign & Indigenous AI Models Matter
🔹 Full Control over Architecture & Behaviour - Avoid dependency on foreign, black-box models. Know exactly how your AI thinks and acts.
🔹 Trained on Contextual & Local Data - Models that reflect your people, policies, languages, and use cases.
🔹 Data Residency & Regulatory Compliance - Ensures sensitive citizen or enterprise data never leaves national borders or organizational firewalls.
🔹 Customizability with Precision - Every domain has different needs - indigenous models can be tailored for those needs, unlike general-purpose LLMs.
🔹 Resilience & National Security - Prevent lock-in to foreign APIs and clouds. Build sovereign tech that works even when disconnected.
SLMs are the Real Future
🔹 SLMs Are the Brain Behind Agentic AI - Autonomous agents require fast, specialized decision-making SLMs are the perfect brain.
🔹 LLMs are Overkill for Most Use Cases - 90% of practical enterprise/government use cases don’t need 70B+ models. SLMs (50–500M params) are cheaper, faster, and more accurate in narrow domains.
🔹 Scalable: Many Models for Many Domains - Tomorrow's organizations won’t rely on one giant model. They’ll deploy a fleet of SLMs, HR-SLM, Finance-SLM, Legal-SLM, Governance-SLM, each fine-tuned to a purpose.
🔹 Deployable Anywhere (Edge, On-Prem, Air-Gapped) - SLMs can be run on laptops, edge devices, or inside government clouds, unlike LLMs that require large-scale GPUs and remote APIs.
🔹 Cheaper to Train, Fine-Tune & Audit - SLMs can be quickly retrained with new regulations, languages, or rules, perfect for evolving public-sector needs.