TildAlice – Tech Blog for Developers
Python, AI, Deep Learning, Data Analysis, Computer Vision, Reinforcement Learning โ tips and tutorials
Latest Posts
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Adjacency List vs Matrix: 47% Faster DFS in Interview Code
DFS performance comparison: adjacency list beats matrix by 47% in interview problems. See which graph representation wins and why it matters.
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SAM vs FastSAM vs SAM 2: Inference Speed Benchmark
Compare SAM, FastSAM, and SAM 2 inference speeds on CPU and GPU. Real benchmark results reveal which segmentation model performs fastest.
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Linear vs Binary Search: 1M Element Speed Test Results
Compare linear vs binary search performance with 1M elements - discover which algorithm wins and when to use each method in Python
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Chain-of-Thought vs Few-Shot: 34% Accuracy Gap on GSM8K
Compare Chain-of-Thought vs Few-Shot prompting on GSM8K math benchmarks. Discover which technique drives the 34% accuracy gap and when to use each.
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Pandas Join Performance: merge() vs concat() vs join()
merge() beat concat() by 12x on 500K rows. Why most tutorials get Pandas joins wrong โ real benchmarks with gotchas.
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Backtest.py to Vectorbt: 3x Faster Parallel Strategies
Migrate from Backtest.py to Vectorbt for 3x faster parallel backtesting. Optimize multi-strategy portfolios with vectorized operations.
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GraphSAGE vs GAT: Reddit/PPI Inductive Learning 95% F1
Compare GraphSAGE and GAT for inductive learning on Reddit and PPI datasets. Learn which model achieves 95% F1 and why architecture matters.
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tmux Scroll vs Terminal: 10K Line Benchmark Results
tmux added 15-22% scroll lag across 4 terminals, but terminal choice caused a 3.8x gap. Alacritty rendered 10K lines in 0.48s; Warp took 1.89s.