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Understanding Transformer Architectures
A deep dive into the attention mechanism and how transformers revolutionized natural language processing.
Deep LearningNLPTransformers
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Thoughts on machine learning, mathematics, and the art of building intelligent systems.
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Optimizing Neural Networks for Production
Best practices for deploying machine learning models at scale, from quantization to model serving.
MLOpsOptimizationProduction
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The Mathematics Behind Gradient Descent
Exploring the mathematical foundations of optimization algorithms and their role in training neural networks.
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Computer Vision: From CNNs to Vision Transformers
Tracing the evolution of computer vision architectures and understanding modern approaches to image understanding.
Computer VisionDeep LearningArchitecture