Further reading

References, datasets, models, and software used across the four courses.

Further reading establishes the research, equations, standards, and APIs behind each lesson. Its prose, figures, tutorial code, and datasets are not republished here; Latent's explanations, diagrams, exercises, implementations, and synthetic fixtures are course-authored.

Models and open-source software
SmolLM2-135M-Instructupstream modelApache-2.0SmolLM2-135M-Instruct-ONNXONNX conversionupstream Apache-2.0 modelTransformers.js3.8.1Apache-2.0React + React DOM19.2.6MITDexie4.4.4Apache-2.0CodeMirror6.0.2MITCodeMirror Python language6.2.1MITPyodide314.0.2MPL-2.0NumPy2.4.3BSD-3-Clauseesbuild-wasm0.28.1MITQuickJS Emscripten0.32.0MITMock Service Worker2.15.0MIT

Further reading by lesson

Linear Algebra Basics5 lessons
Machine Learning Basics5 lessons
Flash-card reference shelfProbability · calculus · regularization · evaluation
Harness Engineering8 lessons
Permissions and SandboxesPermission-policy fixtures · Course-authored synthetic examples · Not separately licensed · 12 paths, actions, and overlapping policy rules
Build an LLM System in Your Browser14 lessons