Archive 124 issues
#75 Architecture PRO edition
Neural Ordinary Differential Equations (NODEs), Simply Explained
#74 Foundation PRO edition
Ensemble Models, Simply Explained
#73 LLMs PRO edition
GPT-OSS, Simply Explained (The Real Architecture of LLMs)
#72 Theory PRO edition
Principle Component Analysis (PCA), Simply Explained
#71 Training PRO edition
LoRA (Low Rank Adaptation) Fine-Tuning for LLMs
#70 Safety PRO edition
Subliminal Learning, Simply Explained
#69 Safety PRO edition
Alignment Faking, Simply Explained
#68 LLMs PRO edition
Small Language Models (The Future?)
#67 Inference PRO edition
LLM KV Caching, Simply Explained
#66 Safety PRO edition
Alignment In Transformers, Simply Explained
#65 LLMs PRO edition
Hierarchical Reasoning Models (HRMs), Simply Explained
#64 LLMs PRO edition
AGI, Simply Explained
#63 Theory PRO edition
KL Divergence, Simply Explained
#62 Agents PRO edition
Retrieval-Augmented Generation (RAG), Simply Explained
#61 Inference PRO edition
Quantization for LLMs, Simply Explained
#60 Theory PRO edition
An Introduction To Gaussian Process Regression
#59 Agents PRO edition
Agentic AI, Simply Explained
#58 Architecture PRO edition
Mamba and State Space Models, Simply Explained
#57 Architecture PRO edition
Diffusion Models, Simply Explained
#56 RL PRO edition
Simple Guide to Deep Q-Networks (DQNs)
#55 LLMs PRO edition
Reasoning LLMs, Simply Explained
#54 Architecture PRO edition
Mixture of Experts (MoE) Models
#53 Multimodal PRO edition
Multimodal Machine Learning, Simply Explained
#52 Architecture PRO edition
Transformer Models From Scratch in Python