TildAlice – Tech Blog for Developers
Python, AI, Deep Learning, Data Analysis, Computer Vision, Reinforcement Learning โ tips and tutorials
Latest Posts
-
DoWhy Internals: Building a Causal Inference Engine from Scratch
DoWhy's graph algorithms solve identification before touching data. Build a causal engine from scratch to understand why 90% of 'causal' ML is just regression.
-
Off-Policy RL Replay Buffer Memory Leak: Fix 2M Step Crash
Fix off-policy RL replay buffer memory leak causing 2M step crashes. Learn circular buffer implementation and memory-efficient sampling patterns.
-
DVC Basics: Track Your First ML Dataset in 3 Commands
Track your ML dataset with 3 DVC commands: init, add, push. Real workflow examples, storage math, and the cache gotcha that surprises everyone.
-
HashMap Tricks: 4 Interview Problems Where Dict Beats Array
Master HashMap techniques to solve frequency counting, two-sum, anagram grouping, and subarray sum problems faster than array-based approaches
-
Off-by-One Errors in Binary Search: 5 Common Bugs
Fix 5 critical off-by-one bugs in binary search that cause infinite loops and wrong results. Learn boundary checks that actually work.
-
GPT-4o vs Claude 3.5 Sonnet: HumanEval Pass@1 Gap
GPT-4o vs Claude 3.5 Sonnet on HumanEval: Claude wins by 4% in real pass@1 tests. See where each model fails and which to pick for production.
-
LLM Tokenization: GPT vs Claude vs Llama Edge Cases
Emojis cost 5 tokens, accented names break budgets, and that 128K context window? Real tests show where GPT, Claude, and Llama tokenizers fail.
-
Deque vs List for BFS: 6x Speed Difference at Scale
Compare deque vs list for BFS performance and discover why the wrong choice causes 6x slowdowns at scale. Benchmark data reveals the winner.