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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DQN vs PPO vs SAC: MuJoCo Training Speed Benchmarks
DQN fails on continuous control. SAC beats PPO 2-3x in sample efficiency but costs 20% more wall-clock time. Real benchmarks on HalfCheetah, Hopper, Ant.
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Git Rebase vs Merge: 3 Cases Where Merge Commits Win
Compare Git rebase vs merge strategies and discover 3 scenarios where merge commits actually outperform rebasing for cleaner project history.
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Python Sorting Benchmarks: Which Algorithm Wins?
Compare Python sorting algorithms with real benchmarks. The winner might surprise you โ discover which method dominates speed tests across different data sizes.
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CBM Migration Guide: Scheduled to Condition-Based
CBM migration forces you to rethink alerting, data pipelines, and ops workflows โ not just swap sensors. Here's what actually breaks and how to fix it.
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QAT vs PTQ: When 3% Accuracy Drop Kills Your Model
Compare QAT vs PTQ to find when that 3% accuracy gap destroys real-world performanceโand which quantization method saves your model.
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Custom Gymnasium Environment: Portfolio Project Guide
Build a custom Gymnasium environment from scratch for your portfolio. Learn registration, spaces, and reward shaping that makes recruiters take notice.
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FastAPI Model Serving: 5 Steps to 50ms Inference
Cut FastAPI model inference from 800ms to 47ms with 5 changes: lifespan handlers, warmup, ThreadPoolExecutor, Pydantic validation, and response models.
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Heap & Stack Patterns: 8 Interview Problems Solved
Solve 8 heap and monotonic stack problems with O(n log k) patterns. Recognize when to use each structure before writing a single line of code.