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OrchSLM Paper Studies Orchestration of Small Language Models for Agentic Pipelines
A new arXiv preprint examines how multiple small language models can be coordinated to power agentic workflows. The authors frame cloud-dependent large models as problematic for latency, privacy, connectivity and cost, and position orchestration of smaller models as an alternative. The work appears to focus on the dynamics and design trade-offs of such multi-model setups.