Flashcards

11,105 cards in 101 decks, written from the same source as the concepts. Space to flip, arrows to move, K and R to sort what you know from what you do not. Progress lives in your browser.

All decks 01Foundations 02Transformer Internals 03Training & Fine-Tuning 04Reinforcement Learning 05Inference, Systems & Hardware 06Applied LLM Engineering 07Reasoning, Evaluation & Safety 08Multimodal & Applications 09Classical ML & Statistical Learning 10Causal Inference & Experimentation 11Time Series & Forecasting 12Graphs, Recommenders & Structured Data 13Generative Modelling Beyond Transformers 14Efficiency, Compression & Edge AI 15Search & Information Retrieval 16Data & Feature Engineering 17MLOps & Platform Engineering 18Security, Privacy & Adversarial ML 19Governance, Risk & Responsible AI 20Human-AI Interaction, Product & Economics

MLOps & Platform Engineering

Everything between a notebook that works and a system that keeps working.

6decks

419cards

Experiment Tracking & Reproducibility

Run metadata, seeds and determinism, environment capture, and what it takes to rebuild a result a year later.

67 cards 6 concepts

Model Registry & Versioning

Artefact lineage, promotion gates, rollback, and versioning models and their data together.

67 cards 6 concepts

CI/CD for ML

Testing pipelines that emit models, data-dependent tests, progressive delivery and automated retraining.

69 cards 6 concepts

ML Observability & Drift

Feature and prediction monitoring, delayed labels, drift statistics, and alerting that does not cry wolf.

71 cards 6 concepts

GPU Fleet & Capacity

Scheduling and quota, fragmentation, preemption, multi-tenancy, and planning capacity under lumpy demand.

76 cards 7 concepts

Cost & FinOps for AI

Unit economics per request, token accounting, reserved versus spot capacity, and attributing spend to features.

69 cards 6 concepts