AI Papers: Illustrated Analysis Collection

Complete illustrated analysis of the Transformer paper by Vaswani et al. Covers self-attention, multi-head attention, positional encoding, and the architecture that powers modern AI.

Step through the Transformer architecture interactively. Visualize tokenization, embeddings, positional encoding, self-attention calculations, and multi-head attention in real-time.

The most comprehensive version featuring all 80+ original images from Wolfram's essay, with expandable commentary sections for each paragraph.

Detailed chapter-by-chapter analysis with expandable explanations. Click any paragraph to reveal in-depth commentary and key insights.

A beautifully designed overview with chapter summaries, key statistics, and the complete Product Requirements Document (PRD).

Complete illustrated guide covering supervised learning (Linear Models, SVM, Trees, Neural Networks), unsupervised learning (Clustering, PCA), model selection, preprocessing, and pipelines.

8 essential competency areas for developers working with AI coding agents: communication, code review, architecture, tool orchestration, domain expertise, testing, security, and continuous learning.

38 interview questions covering PyTorch, TensorFlow, JAX, distributed training, experiment tracking, model serving, optimization, pipelines, feature stores, monitoring, and ML testing.

Interactive dashboard exploring Nicușor Dan's groundbreaking work in Arakelov theory. Features 6 simulators: Green currents, meromorphic continuation, *-product calculator, complex varieties, Fubini-Study heights, and Igusa zeta functions.