AI Research
OrchSLM: Probing the Dynamics of Small Language Model Orchestration
How orchestrating small language models is replacing massive, cloud-reliant AI pipelines.
Although large language models (LLMs) have demonstrated remarkable capabilities, their reliance on cloud-scale infrastructure poses fundamental challenges for deployment in agentic pipelines, including latency, privacy, connectivity, and substantial computational cost. Small lang...
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ArXiv CS.AI
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ArXiv CS.AI
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OrchSLM marks a critical shift toward decentralized AI by optimizing the synergy between smaller, efficient models rather than relying on massive, monolithic systems. This architectural approach unlocks real-time performance and privacy, making complex agentic tasks feasible on edge hardware.
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