A profiling-guided, LLM-driven framework combines structured pruning and mixed-precision quantization-aware training, reporting 13-18x bit-operation reductions with modest accuracy loss on ImageNet and CIFAR-10.
Deep learning in agriculture: A survey.Computers and electronics in agriculture, 147:70–90, 2018
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APQF: Agentic Profiling-Guided Structured Pruning and Mixed-Precision Quantization with Adaptive Fine-Tuning
A profiling-guided, LLM-driven framework combines structured pruning and mixed-precision quantization-aware training, reporting 13-18x bit-operation reductions with modest accuracy loss on ImageNet and CIFAR-10.