🔥 PyTorch: Zero to LLM

Master Deep Learning — From Tensors to Building Your Own GPT

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📌 Navigation

Section	Focus
1️⃣	PyTorch basics: Tensors & Autograd
2️⃣	Datasets & DataLoaders
3️⃣	Perceptron → MLP
4️⃣	Regression & Classification
5️⃣	CNN: Cat vs Dog
6️⃣	RNN → LSTM → Build your own GPT

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1️⃣ Fundamentals of PyTorch

The building blocks of every neural network

Concept	Code
🧩 Tensor Operations	▶️ Launch
⚙️ Autograd Engine	▶️ Launch

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2️⃣ Data Engineering

Load, transform, and iterate like a pro

Component	Code
📦 Dataset & DataLoader	▶️ Launch

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3️⃣ Training Pipeline Architecture

🧠 Perceptron

Implementation	Code
From scratch (no nn.Module)	▶️ Launch
Using nn.Module	▶️ Launch

🧬 Multi-Layer Perceptron

Implementation	Code
MLP with nn.Module	▶️ Launch
Sequential API	▶️ Launch
With DataLoader	▶️ Launch

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4️⃣ Artificial Neural Networks (ANN)

📈 Regression

Problem	Code
⛽ Fuel Price Prediction	▶️ Launch
🏠 Housing Price Prediction	▶️ Launch

🏷️ Classification

Problem	Code
🎓 Grade Prediction (Multiclass)	▶️ Launch

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5️⃣ Computer Vision 👁️

See the world through CNNs

Project	Code
🐱🐶 Cat vs Dog Classifier	▶️ Launch

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6️⃣ Natural Language Processing 📝

From sequences to generative AI

🔁 RNN

Task	Code
❓ Question Answer System	▶️ Launch
🔮 Next Word Prediction	▶️ Launch

🧠 LSTM

Task	Code
❓ Question Answer System	▶️ Launch
🔮 Next Word Prediction	▶️ Launch

🔁 Bidirectional LSTM

Task	Code
🔮 Next Word Prediction	▶️ Launch

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🏗️ Build Your Own LLM (GPT Series)

📊 Preprocessing

Technique	Code
✏️ Custom Space-Based Encoding	▶️ Launch
🔡 Byte-Pair Encoding (BPE)	▶️ Launch

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🎯 Attention Mechanism

📌 Self-Attention (click to expand)

#	Type	Code
1	Non-parameterized	▶️ Launch
2	Trainable parameterized	▶️ Launch

🔒 Masked Self-Attention

#	Implementation	Code
1	Basic masked attention	▶️ Launch
2	Batch + Class-based	▶️ Launch

🧠 Multi-Head Masked Attention

#	Implementation	Code
1	Wrapper class	▶️ Launch
2	Optimized version	▶️ Launch

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🧱 LLM Architecture (GPT-2 Family)

Component	Code
🏛️ GPT Model Architecture	▶️ Launch
📐 Layer Normalization	▶️ Launch
⚡ Feed Forward + GELU	▶️ Launch
🔗 Shortcut Connections	▶️ Launch
🧩 Transformer Block	▶️ Launch
Complete Models
🟢 Small GPT-2 (124M)	▶️ Launch
🔵 Medium GPT-2 (350M)	▶️ Launch
🟠 Large GPT-2 (750M)	▶️ Launch
🔴 XL GPT-2 (1.63B)	▶️ Launch
✨ Text Generation	▶️ Launch

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⚙️ Pretraining Pipeline

Step	Code
🔄 Text ↔ Token	▶️ Launch
📉 Loss Function	▶️ Launch
🏋️ Training Loop	▶️ Launch
🎲 Randomness Injection	▶️ Launch
💾 Load Pretrained Weights	▶️ Launch

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🚀 Start Your Journey

Stage	Focus
🟢 Beginner	PyTorch basics + Perceptron
🟡 Intermediate	ANN + CNN + RNN/LSTM
🔴 Advanced	Build GPT from scratch

⭐ Star this repo — You're building an LLM. Own it.