AI, But Simple

Archive 124 issues

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2026 41

  1. #84 Machine Learning Explainability (XAI), Simply Explained Interp. PRO edition

2025 51

  1. #83 GPU Optimization for Machine Learning, Simply Explained Inference PRO edition
  2. #82 Neural Network Backpropagation, Mathematically Explained Training PRO edition
  3. #81 Dimensionality Reduction: t-SNE and UMAP Theory PRO edition
  4. #80 Boosting Models in Machine Learning, Simply Explained Foundation PRO edition
  5. #79 LLM Security (Prompt Injection, Adversarial Attacks), Simply Explained Safety PRO edition
  6. #78 LLM Knowledge Distillation, Simply Explained Training PRO edition
  7. #77 Energy-Based Transformers (EBTs), Simply Explained Architecture PRO edition
  8. #76 Neural Radiance Fields (NeRFs), Simply Explained Architecture PRO edition
  9. #75 Neural Ordinary Differential Equations (NODEs), Simply Explained Architecture PRO edition
  10. #74 Ensemble Models, Simply Explained Foundation PRO edition
  11. #73 GPT-OSS, Simply Explained (The Real Architecture of LLMs) LLMs PRO edition
  12. #72 Principle Component Analysis (PCA), Simply Explained Theory PRO edition
  13. #71 LoRA (Low Rank Adaptation) Fine-Tuning for LLMs Training PRO edition
  14. #70 Subliminal Learning, Simply Explained Safety PRO edition
  15. #69 Alignment Faking, Simply Explained Safety PRO edition
  16. #68 Small Language Models (The Future?) LLMs PRO edition
  17. #67 LLM KV Caching, Simply Explained Inference PRO edition
  18. #66 Alignment In Transformers, Simply Explained Safety PRO edition
  19. #65 Hierarchical Reasoning Models (HRMs), Simply Explained LLMs PRO edition
  20. #64 AGI, Simply Explained LLMs PRO edition
  21. #63 KL Divergence, Simply Explained Theory PRO edition
  22. #62 Retrieval-Augmented Generation (RAG), Simply Explained Agents PRO edition
  23. #61 Quantization for LLMs, Simply Explained Inference PRO edition
  24. #60 An Introduction To Gaussian Process Regression Theory PRO edition
  25. #59 Agentic AI, Simply Explained Agents PRO edition
  26. #58 Mamba and State Space Models, Simply Explained Architecture PRO edition
  27. #57 Diffusion Models, Simply Explained Architecture PRO edition
  28. #56 Simple Guide to Deep Q-Networks (DQNs) RL PRO edition
  29. #55 Reasoning LLMs, Simply Explained LLMs PRO edition
  30. #54 Mixture of Experts (MoE) Models Architecture PRO edition
  31. #53 Multimodal Machine Learning, Simply Explained Multimodal PRO edition
  32. #52 Transformer Models From Scratch in Python Architecture PRO edition
  33. #51 Supervised ML: Decision Trees Foundation PRO edition
  34. #50 Neural Scaling Laws, Simply Explained Training PRO edition
  35. #49 Time Series Analysis, Simply Explained Foundation PRO edition
  36. #48 Introduction to Computer Vision (CV) Multimodal PRO edition
  37. #47 AI Hallucinations, Simply Explained Safety PRO edition
  38. #46 BERT: Bidirectional Encoder Representations From Transformers LLMs PRO edition
  39. #45 A Visual Guide To Variational Autoencoders (VAEs) Architecture PRO edition