Tag: Advanced
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Pruned YOLOv8 ONNX INT8 Fails: 3 Fixes That Work
Pruned YOLOv8 + ONNX INT8 dtype mismatch? Here are 3 working fixes with Jetson benchmarks โ re-quantize, QAT pruning, or manual graph surgery.
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Haar Cascade to YOLOv8 Face Detection: 4.2x Speed Gain
Migrated Haar Cascade to YOLOv8 face detection: 4.2x faster on CPU, 89% mAP50 vs 67%. Real preprocessing pitfalls and deployment gotchas included.
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DDPG from Scratch: 400-Line PyTorch Implementation
Build a DDPG agent from scratch in 400 lines of PyTorch. Learn continuous action RL with policy gradients, replay buffers, and target networks.
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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.
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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.
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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.
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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.
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MLflow โ Kubernetes Operator: 4 Migration Pitfalls
4 silent failures when migrating from MLflow Model Registry to Kubernetes operators โ version drift, storage pitfalls, broken rollbacks, lost monitoring.