Abstract: Nonlinear functions (NFs) in Transformers require high-precision computation consuming significant time and energy, despite the aggressive quantization schemes for other components.
Abstract: Compute-in-memory (CIM) architectures are promising solutions for addressing the memory wall problem that arises in memory-intensive computations, such as neural network inference. Analog ...
I would like Strands to add prompt to conversational history when using structured output method. I followed the example code: agent = Agent() # Build up conversation ...
FLUX model requires MIGraphX to support 'SplitToSequence' ONNX operator since 'diffusers' version 0.35.0. Probably, it is needed for mapping aten::rms_norm operation ...
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