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

Search & Information Retrieval

Thirty years of ranking research that RAG rediscovered, usually the hard way.

5decks

605cards

Classical Information Retrieval

Inverted indexes, TF-IDF and BM25, query processing, and the lexical baselines that refuse to be beaten.

141 cards 7 concepts

Learning to Rank

Pointwise, pairwise and listwise objectives, LambdaMART, position bias and counterfactual training.

133 cards 7 concepts

Query Understanding

Intent classification, spelling and segmentation, expansion, rewriting, and conversational query resolution.

133 cards 7 concepts

Search Evaluation

Pooling and judgments, nDCG and MRR, interleaving, online metrics, and why offline gains vanish online.

129 cards 7 concepts

Vector Databases

Index families, filtered search, freshness and deletes, sharding, and the operational reality of billion-scale ANN.

69 cards 6 concepts