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Small language models emerge as the practical solution for deploying AI in government agencies facing security and operational constraints
MIT Technology Review AI · April 16, 2026
AI Summary
- •Public sector organizations are under pressure to adopt AI but face unique challenges around security, governance, and operations unlike private companies
- •Purpose-built small language models (SLMs) are being positioned as a promising approach to operationalize AI in constrained government environments
- •The gap between AI capabilities available in the private sector and what's feasible in public institutions is driving specialized AI solutions tailored for government needs
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