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| # 한국어 출력 스타일 지침 | |
| ## 1. 기본 원칙 | |
| 실무 엔지니어가 자신이 이해하거나 경험한 것을 다른 사람에게 설명하는 방식으로 작성한다. | |
| **중요한 것은 정보의 나열이 아니라, 그 정보가 왜 필요한지와 어떤 논리로 결론에 도달하는지를 이해시키는 것이다.** | |
| - 질문에서 실제로 궁금해하는 부분을 먼저 파악한다. | |
| - 결론만 전달하지 않고 필요한 논리와 근거를 설명한다. |
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| https://arxiv.org/pdf/2108.12226 | |
| https://arxiv.org/pdf/2204.03409 | |
| https://arxiv.org/pdf/2209.15329 | |
| https://arxiv.org/pdf/2502.17239v1 | |
| https://arxiv.org/pdf/2510.20860v1 | |
| https://openreview.net/notes/edits/attachment?id=4eVlrUEvYw&name=pdf | |
| https://arxiv.org/pdf/2503.02318v2 | |
| https://arxiv.org/pdf/2606.29031v1 | |
| https://arxiv.org/pdf/2607.10387v1 | |
| https://arxiv.org/pdf/2607.21550v1 |
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| # ---- uv-conda shorthand: uc {create,activate,install,remove,run,which,bin} ---- | |
| export UV_VENV_HOME="${UV_VENV_HOME:-$HOME/.venvs}" | |
| uc() { | |
| local cmd="$1" | |
| shift || true | |
| case "$cmd" in | |
| create) | |
| local name="" |
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| from datasets import load_dataset | |
| import torch | |
| import sacrebleu | |
| import json | |
| from transformers import AutoModelForCausalLM, AutoProcessor, GenerationConfig | |
| import soundfile as sf | |
| from jiwer import cer | |
| from whisper_normalizer.basic import BasicTextNormalizer | |
| from tqdm.auto import tqdm | |
| import re |