TildAlice – Tech Blog for Developers
Python, AI, Deep Learning, Data Analysis, Computer Vision, Reinforcement Learning โ tips and tutorials
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MARL ์ค์ ๊ฐ์ด๋: QMIX, MAPPO, MADDPG ๊ตฌํ ๋น๊ต
QMIX vs MAPPO vs MADDPG on cooperative tasks: which multi-agent RL algorithm converges faster? Benchmarks from 10M training steps.
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LoRA vs QLoRA vs DoRA ์๋ฒฝ ๋น๊ต: ํ๋ผ๋ฏธํฐ ํจ์จ์ ํ์ธํ๋(PEFT) ๋ฉ๋ชจ๋ฆฌ ์ต์ ํ ์ค์ ๊ฐ์ด๋
LoRA uses 60GB GPU, QLoRA needs 16GB, DoRA hits 12GB โ same model quality. Here's the memory breakdown and when to pick each method.
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Ruff vs Black vs isort: 2026๋ Python ํฌ๋งคํฐ ์ฑ๋ฅ ๋ฒค์น๋งํฌ์ ๋ง์ด๊ทธ๋ ์ด์ ๊ฐ์ด๋
Ruff formats 100K Python files in 0.8s. Black takes 47s, isort takes 23s. Migration guide included โ no config changes needed.
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LSTM vs Transformer RUL ์์ธก: NASA CMAPSS ์คํ ๋น๊ต
Transformer beat LSTM by 18% RMSE on NASA turbofan RUL prediction. Attention maps reveal why โ and when LSTM still wins.
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SAM๊ณผ DINOv2๋ก ๋ผ๋ฒจ ์์ด ์์ํ๋ Zero-Shot Semantic Segmentation ์ค์ ๊ฐ์ด๋
SAM + DINOv2 semantic segmentation with zero labeled images: 81% mIoU on custom industrial datasets. Step-by-step implementation guide.
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YOLO v8๋ถํฐ v11๊น์ง ์ฑ๋ฅ ๋ฒค์น๋งํฌ: ์ค์๊ฐ ๊ฐ์ฒด ํ์ง ๋ชจ๋ธ ์ ํ ๊ฐ์ด๋
YOLOv8 vs v11: real-world FPS and mAP benchmarks on edge devices. See which version actually wins for your hardware.
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Feature Engineering ์๋ํ: Featuretools๋ก 10๋ฐฐ ํจ์จ
Featuretools vs AutoFeat: generate 100+ features in 5 minutes instead of 2 hours. Benchmark results from 3 real datasets.
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Python์ผ๋ก A/B ํ ์คํธ ๋ถ์ํ๊ธฐ: t-๊ฒ์ ๋ถํฐ ๋ฒ ์ด์ง์ ์ถ๋ก ๊น์ง ํต๊ณ์ ์ ์์ฑ ๊ฒ์ฆ ์๋ฒฝ ๊ฐ์ด๋
A/B test statistical significance in Python: t-test, chi-square, and Bayesian methods with actual conversion data examples.