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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Greedy vs DP: When Sorting Fails the Interview
Learn when greedy algorithms fail and dynamic programming saves the day through a classic interval scheduling problem that trips up interviews
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Mamba vs RWKV: 32K Context Benchmark on A100
Mamba vs RWKV: real accuracy and memory numbers at 32K tokens on A100. One architecture chokes past 16K โ the other scales but misses facts.
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Pandas Memory Optimization: Cut RAM Usage by 90% on Large CSVs
Optimize Pandas memory usage and cut RAM by 90% when loading large CSVs. Learn dtype tricks, chunking, and category conversion techniques.
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EfficientNetV2 vs ResNet: 11x Faster Training Explained
EfficientNetV2 trains 11x faster than ResNet through progressive learning, Fused-MBConv blocks, and adaptive regularization strategies.
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Whisper.cpp vs Faster-Whisper: WER Accuracy Test on LibriSpeech
Tested whisper.cpp vs faster-whisper on LibriSpeech: 4.71% vs 4.42% WER. Here's exactly where quantization drops accuracy and which to deploy on edge.
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MLflow Basics: 5 Interview Questions Every Beginner Should Know
5 MLflow interview questions that separate beginners from practitioners. Real API calls, registry versioning, and tracking server setup with working code.
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Transformer vs CNN-LSTM: CWRU Bearing 96% vs 92% Accuracy
Compare Transformer vs CNN-LSTM for bearing fault detection on CWRU dataset. Discover which architecture achieves 96% accuracy and why it wins.
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asyncio vs threading vs multiprocessing: Real Latency
Compare asyncio, threading, and multiprocessing performance with real benchmarks. Find out which concurrency model wins for I/O vs CPU workloads.