Best of Deep Learning — August 2025

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   Article

   Daily Dose of Data Science | Avi Chawla | Substack·39w

   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·40w

   Fine-tuning Gemma 3 270M Locally

   Google's Gemma 3 270M model can be fine-tuned locally using just 0.5 GB RAM. The tutorial demonstrates using Unsloth and HuggingFace transformers to fine-tune the model for chess move prediction. The process involves loading the model, configuring LoRA for efficient training, preparing a chess dataset, and training with decreasing loss. After fine-tuning, the model successfully predicts missing chess moves instead of generating random moves.

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3. 3
   Article

   Javarevisited·39w

   Generative AI Study Plan: Essential Keywords & Concepts for Beginners

   A comprehensive beginner's guide to generative AI covering foundational concepts, mathematical prerequisites, key models like GPT and DALL-E, development stack including Python and frameworks, training workflows, AI agents, computer vision applications, and recommended learning resources. The guide breaks down complex topics into digestible sections with practical examples and code snippets.

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