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Recommended deep-dives
New here? These are the best entry points — each one is a complete visual explainer with quizzes.
Transformers — The Architecture That Changed AI
A scroll-driven visual deep dive into the Transformer architecture. From RNNs to self-attention to GPT — understand the engine behind every modern AI model.
Start deep-diveLinear Regression — The Foundation of Machine Learning
A scroll-driven visual deep dive into linear regression. From data points to loss functions to gradient descent — understand the building block behind all of ML.
Start deep-diveFlash Attention — Making Transformers Actually Fast
A scroll-driven visual deep dive into Flash Attention. Learn why standard attention is broken, how GPU memory works, and how tiling fixes everything — with quizzes to test your understanding.
Start deep-diveLearning Paths
Follow a structured path
Articles grouped by topic. Follow a path from start to finish, or jump in wherever you want.
ML Fundamentals
6 articles · 79 min total
From linear regression to ensemble methods — build your ML foundation step by step.
Classification & Trees
7 articles · 89 min total
Decision boundaries, random forests, gradient boosting — the workhorses of tabular ML.
Deep Learning & AI
4 articles · 59 min total
Transformers, attention mechanisms, RLHF — the ideas powering modern AI.
Evaluation & Metrics
4 articles · 49 min total
Confusion matrices, ROC curves, regression metrics — measure what matters.
Unsupervised & Dimensionality
3 articles · 29 min total
Clustering, PCA, DBSCAN — find structure in unlabeled data.
Systems & Infrastructure
3 articles · 48 min total
Caching, sharding, vector databases — the engineering behind scalable systems.
NLP Foundations
5 articles · 75 min total
From raw text to vector representations — the building blocks of every NLP system.
NLP Applications
5 articles · 75 min total
Sentiment, classification, NER, topic modeling — put NLP to work on real problems.
Search Engineering
7 articles · 63 min total
BM25, ANN, HNSW, reranking, cross-encoders — build production search from scratch.
Data Structures & Algorithms
6 articles · 59 min total
Hash tables, trees, tries, sorting — the CS fundamentals that power everything.
How it works
Learning that actually sticks
Pick a path
Choose a learning path or browse individual deep-dives on AI, ML, and systems.
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Diagrams animate as you read. Concepts build up visually, step by step. No clicking.
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Inline knowledge checks make sure you actually understood — no passive scrolling allowed.
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Related articles link together. Finish one, the next is waiting. Build real understanding.
Recently Added
Fresh deep-dives
Confusion Matrix Deep Dive — What Your Model Gets Wrong and Why
A scroll-driven deep dive into the confusion matrix. Master TP, TN, FP, FN, and learn to derive every classification metric from a single 2×2 table.
Language Models & N-grams — Predicting the Next Word Since 1948
A scroll-driven visual deep dive into statistical language models. From Shannon's information theory to N-grams to the bridge to transformers — learn how autocomplete, spell check, and speech recognition all predict what comes next.
ROC Curves & AUC — Measuring Classifier Performance Visually
A scroll-driven visual deep dive into ROC curves and AUC. Learn TPR vs FPR, why AUC is threshold-independent, and when to use ROC vs PR curves.
Topic Modeling — Discovering Hidden Themes in Millions of Documents
A scroll-driven visual deep dive into topic modeling. From LDA to NMF to neural topic models — learn how search engines and email services automatically categorize, cluster, and label unstructured text at scale.
Accuracy, Precision, Recall & F1 — Choosing the Right Metric
A scroll-driven visual deep dive into classification metrics. Learn why accuracy misleads, what precision and recall actually measure, and when to use F1, F2, or something else entirely.
Named Entity Recognition — Teaching Machines to Find Names in Text
A scroll-driven visual deep dive into Named Entity Recognition (NER). From rule-based to CRF to transformer-based approaches — learn how search engines and email services extract people, places, companies, and dates from unstructured text.
Why Unfoldex
Not another blog
Scroll-triggered visuals
Diagrams build up as you read. Every scroll reveals the next piece of the puzzle.
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Inline quizzes check your understanding. Active learning, not passive reading.
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Every diagram is hand-crafted. Every quiz is intentional. Quality over quantity.
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