TLDR Tech / AI
Small language models are reshaping enterprise AI architecture
Enterprises are increasingly routing routine tasks to smaller, specialized models while reserving large models for complex reasoning, cutting inference costs by as much as 90%, reducing latency, and keeping sensitive data closer to home. The bigger shift is toward multi-model AI stacks where companies optimize for cost, speed, and privacy instead of defaulting every workflow to the biggest model available.
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