Multi-agent LLM systems relay key-value caches instead of text and credit their gains to exchanged"latent thoughts". That credit is a claim about which example's cache is relayed, not merely that one is. We audit it causally in released systems. The cache is replaced with deranged (mismatched-example), zeroed, and mome...
This study presents a cross-platform, multi-model empirical study, where several important observations are brought, including the contrastive effect of quantization under different hardware bottlenecks, along with a quantification of runtime delays caused by the lack of parallelism in the ARM architecture.
Subhransu Das, Jiaming Cheng, Swathi Vallabhajosyula et al.· Practice and Experience in A...· 0 citations
An integrated management framework powered by Tapis is shown how a unified UI-driven workflow streamlines the transition from initial evaluation to deployment, ensuring operational consistency and reproducibility without manual script porting.
Manikya Swathi Vallabhajosyula, Gautam Gururaj Molakalmuru, Samuel Khuvis et al.· Practice and Experience in A...· 0 citations
This work surveys dozens of recent works that report compression results on real hardware and extracts practical deployment guidelines from them, and deploys compact language and image models on GPU, CPU, and Raspberry Pi platforms across question answering and image segmentation.
Subhransu Das, Jiaming Cheng, Arnav Kumar et al.· 0 citations
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