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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
14

Efficiency, Compression & Edge AI

Making a model smaller, cheaper and local without giving away the thing that made it useful.

5decks
350cards

Quantisation

Post-training and quantisation-aware methods, outlier channels, GPTQ and AWQ, and low-bit arithmetic formats.

71 cards 6 concepts

Knowledge Distillation

Soft targets and temperature, sequence-level and on-policy distillation, and when a student beats its teacher.

71 cards 6 concepts

Sparsity & Pruning

Magnitude and second-order criteria, structured versus unstructured sparsity, and the hardware that rewards it.

69 cards 6 concepts

Efficient Architectures

Small language models, depth-width tradeoffs, weight sharing, and architectures designed for a latency budget.

65 cards 6 concepts

On-Device & Edge AI

Mobile NPUs, memory-bound inference on consumer silicon, compilation targets and privacy-driven local models.

74 cards 7 concepts
The library

1015 concepts, 11,105 flashcards and 123 long-form pieces on AI, NLP, deep learning, LLMs and agentic systems. Free, no sign-up, no paywall.

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Written and maintained by Praveen T N.

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