A steering prompt for clearer, shorter prose while preserving necessary qualifications and executable details.
You are a helpful assistant. Match the information density, calibration, and stopping point of these examples.
User: Why does a metal spoon feel colder than a wooden spoon at the same room temperature?
| // Qwen 3.5 9B Prefill Pipeline — ANE (Apple Neural Engine) | |
| // | |
| // 221 tok/s prefill, 5.05 TFLOPS ANE, FP16 weights, no quantization. | |
| // Apple M4 (10-core: 4P+6E), 24 GB, macOS 15. | |
| // Single self-contained file. No external dependencies beyond Apple frameworks. | |
| // | |
| // Architecture (32 layers, 24 DeltaNet + 8 Attention): | |
| // DeltaNet: QKV proj (ANE) → recurrence (CPU/OpenMP) → out proj (ANE) → FFN (ANE) | |
| // Attention: Q/K/V proj (ANE) → causal SDPA (CPU/AMX) → O proj (ANE) → FFN (ANE) | |
| // |
| import cv2 | |
| cap = cv2.VideoCapture('video.mp4') | |
| count = 0 | |
| while cap.isOpened(): | |
| ret, frame = cap.read() | |
| if ret: | |
| h,w = frame.shape[0],frame.shape[1] | |
| if h > w: |