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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