LLM and speech-to-text on the AMD Ryzen AI NPU with custom AI Engine kernels: LFM2.5-230M at 58 tok/s, Parakeet TDT 0.6B encoder at 185 ms per 10 s audio with FP32 accuracy. IRON/MLIR-AIE, XRT.
What is the AbhiramJayasankar/ryzenai-npu-lab GitHub project? Description: "LLM and speech-to-text on the AMD Ryzen AI NPU with custom AI Engine kernels: LFM2.5-230M at 58 tok/s, Parakeet TDT 0.6B encoder at 185 ms per 10 s audio with FP32 accuracy. IRON/MLIR-AIE, XRT.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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