Abstract: Approximate multipliers (AppMults) are widely employed in deep neural network (DNN) accelerators to reduce the area, delay, and power consumption. However, the inaccuracies of AppMults ...
If you just want to use MIR as the pre-training indicator of your own model, no additional environment is required. python mir.py --model_path PATH/TO/MODEL --base_llm PATH/TO/LLM --text_data_path ...
Abstract: FPGAs provide customizable, low-power, and real-time ML Models acceleration for embedded systems, making them ideal for edge applications like robotics and IoT. However, ML models are ...
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