Deploying Small Language Models: Inference, Monitoring, Drift

Businesses are using smaller, more specialised models that are tailored to certain workflows rather than depending just on large general-purpose models. These models provide stricter governance controls, predictable infrastructure costs, and quicker responses. Consequently, the deployment of small language models is becoming a fundamental element of contemporary industrial AI architecture.

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