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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Federated Learning vs Centralized: 3 Reasons Edge Fails
Federated Learning vs Centralized: Discover why edge training struggles with convergence, hardware limits, and security risks in real-world ML systems.
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FastAPI vs Flask Async: Cut ML Inference Latency 48%
FastAPI cut ML API latency 48% vs Flask โ but naive async made it worse. Real benchmarks, async patterns, and the threading pitfall that cost me an hour.
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RL Basics: MDP to Q-Learning in 5 Diagrams
Learn MDP fundamentals and Q-learning algorithms through 5 clear diagrams. Build intuition for reinforcement learning core concepts step-by-step.
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DETR vs Faster R-CNN: End-to-End Detection Hits 42 AP
Compare DETR vs Faster R-CNN object detection: how Transformers eliminate anchors and NMS to match 42 AP while simplifying the detection pipeline.
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Threshold Alarms vs ML: 4-Week Python CBM Migration
Compare threshold vs ML-based condition monitoring in Python. 4-week migration guide with FFT, LSTM anomaly detection, and live industrial examples.
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Test-Time Training (TTT) in 2026: 3x Domain Speedup
Test-Time Training (TTT) delivers 3x faster domain adaptation in 2026. Compare TTT layers vs self-attention and build adaptive models.
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Claude vs GPT-4o: Beginner Coding Tasks Benchmark Results
Claude scored 87%, GPT-4o hit 91% on 100 beginner coding tasks. But aggregate scores hide the real story โ see which model wins by task type.
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DP State Design: 7 Patterns That Cut Interview Time in Half
Master the 7 DP state patterns (endpoint, bitmask, range) that solve 80% of interview problems. Includes Kadane, knapsack, and stock cooldown examples.