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A 1B small language model can beat a 405B large language model in reasoning tasks if provided with the right test-time scaling strategy.

The increase is due to increasing connected devices and machines requiring orchestration in the warehouse, says ABI research.

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Warehouse automation is evolving to move away from traditional, fixed systems (such as conveyor belts and sortation machines), towards more flexible solutions such as autonomous mobile robots (AMRs).

From simple voice-based picking technology to more advanced robotic solutions, automation continues to speed fulfillment at distribution centers around the world.