Your GPU Is Bored: A Practical Utilization Playbook
A measurement-first guide to finding GPU idle time, fixing input stalls, tuning precision and batches, and improving training or inference throughput.
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Practical intelligence, from model ideas to product impact.
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A measurement-first guide to finding GPU idle time, fixing input stalls, tuning precision and batches, and improving training or inference throughput.
A practical guide to containerized AI application architecture, with design patterns and a working FastAPI service powered by a Hugging Face model.
A fraud detection story about why accuracy is the most overrated metric in ML, told through one embarrassingly lazy model.
End-to-end Iris species classification using Python and scikit-learn, covering data validation, EDA, model comparison, evaluation, interpretation & prediction.
Compare Llama 3.1 vs 3.2 across multimodal capabilities, model sizes, and practical use cases to choose the right model.