Layers of AI: (From Classical Methods to Autonomous AI Systems)

Train your own LLM from scratch This is a step-by-step repo that walks you through building and training a transformer model from scratch using PyTorch. From downloading training data all the way to generating text. The architecture is built from the ground up following the original "Attention is All You Need" paper. MLP, single head attention, multi-head attention, transformer blocks, and the full transformer model - all coded and explained with detailed diagrams at each step. Key capabilities: • End-to-end pipeline: data download → preprocessing → training → text generation • Full transformer implementation from scratch with PyTorch • Trains models from 13M to 2B+ parameters on a single GPU • Training data from The Pile (825GB, 22 diverse datasets) • Tokenization via tiktoken (r50k_base) • SFT and RLHF guide included 100% open source. 🔗 Link

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