AI, But Simple

Training 22 issues

CategoryTraining 22

2026 3

  1. #116 Persistent AI memory, AI watermarking, on-policy distillation Training PRO edition
  2. #106 On-Policy Distillation for LLMs, Simply Explained Training PRO edition
  3. #87 Fine-Tuning for LLMs, Simply Explained Training PRO edition

2025 7

  1. #82 Neural Network Backpropagation, Mathematically Explained Training PRO edition
  2. #78 LLM Knowledge Distillation, Simply Explained Training PRO edition
  3. #71 LoRA (Low Rank Adaptation) Fine-Tuning for LLMs Training PRO edition
  4. #50 Neural Scaling Laws, Simply Explained Training PRO edition
  5. #41 CNN Backpropagation, Mathematically Explained Training PRO edition
  6. #39 Deep Learning's Top Pitfalls: Why Your Model Struggles (And How to Fix It!) Training PRO edition
  7. #35 Self-Supervised Learning, Simply Explained Training PRO edition

2024 12

  1. #30 Transfer Learning, Simplified Training PRO edition
  2. #29 Normalization In Deep Learning Training PRO edition
  3. #28 All About Activation Functions Training PRO edition
  4. #25 Efficient Optimization Algorithms: Mathematically Explained Training PRO edition
  5. #24 Optimization Algorithms in Deep Learning: Mathematically Explained Training PRO edition
  6. #23 Mathematics of Recurrent Neural Networks: Backpropagation Training PRO edition
  7. #12 Batch Normalization Training
  8. #7 Regularization in Deep Learning Training
  9. #6 Hyperparameter Tuning for Deep Learning Training
  10. #5 Optimizers in Deep Learning: A simple explanation Training
  11. #3 Deep Learning: Overfitting, Underfitting, and Vanishing Gradient Training
  12. #2 Neural Networks: Learning Parameters (Weights, Biases, and Backprop) Training