Adaptive-Cognitive-Budgeting-GPU-Free-LLMs
Adaptive Cognitive Budgeting (ACB) dynamically allocates context windows and CPU threads based on query complexity and host memory pressure to prevent catastrophic latency stalls in GPU-free LLM inference.
The results presented above reflect a single audited trial (N=1) per configuration on one specific hardware profile (Apple M2, 8GB) with one workload. They do not establish universal superiority or generalization to other devices, models, or workloads. Our goal is to demonstrate the feasibility of dynamic context and precision budgeting, not to claim universally optimal performance. See the paper's Limitations section for the required extensions to validate generality.
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