Best of PyTorch — August 2025

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   Article

   Daily Dose of Data Science | Avi Chawla | Substack·36w

   Implement "Attention is all you need"

   A comprehensive tutorial on implementing the Transformer architecture from the groundbreaking "Attention is All You Need" paper using PyTorch. Covers the complete implementation including multi-head attention mechanisms, encoder-decoder structure, positional encoding, and feed-forward networks. Explains key components like self-attention with the Q, K, V formula, masked attention for decoders, and the training process using teacher forcing. Demonstrates how the architecture works for sequence-to-sequence tasks like machine translation, with detailed explanations of both training and inference phases.

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   Article

   Daily Dose of Data Science | Avi Chawla | Substack·38w

   The Full MLOps/LLMOps Blueprint

   A comprehensive crash course covering MLOps and LLMOps fundamentals, from foundational concepts to hands-on implementations. The series explores ML system lifecycle, data pipelines, model training, deployment, and monitoring. Part 3 focuses specifically on reproducibility and versioning using tools like Git, DVC, and MLflow, emphasizing that ML systems require extensive infrastructure beyond just the ML code itself.

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3. 3
   Article

   Daily Dose of Data Science | Avi Chawla | Substack·36w

   Data and Pipeline Engineering for ML Systems (With Implementation)

   A comprehensive MLOps crash course covering data and pipeline engineering for ML systems. The series explores data sources, ETL pipelines, model training, deployment, versioning, and reproducibility. It includes hands-on implementations using tools like PyTorch, MLflow, Git, DVC, and Weights & Biases, providing both foundational concepts and practical system-level thinking for production ML environments.

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