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# Foundations for advanced learners

[Beginner](/foundations/beginner/index.md) [Intermediate](/foundations/intermediate/index.md) [Advanced](/foundations/advanced/index.md) [Expert](/foundations/expert/index.md)

588 resources · page 17 of 19

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### [EU AI Act Art.3 definitions](/foundations/courses-and-learning-paths/eu-ai-act-art-3-definitions/index.md)

Creator not supplied; see original source.

EU AI Act Article 3 text: the legal definitions used throughout the regulation, such as AI system and provider.

Intermediate–Advanced · unknown · unknown resource · en 

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### [Google ML Glossary](/foundations/courses-and-learning-paths/google-ml-glossary/index.md)

Creator not supplied; see original source.

Google Machine Learning Glossary defining ML terms, including TensorFlow and large language model terminology.

Intermediate–Advanced · unknown · unknown resource · en 

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### [HF Transformers glossary](/foundations/courses-and-learning-paths/hf-transformers-glossary/index.md)

Creator not supplied; see original source.

Hugging Face Transformers glossary defining terms used in transformer models and the library.

Intermediate–Advanced · unknown · unknown resource · en 

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### [Hugging Face LLM Course](/foundations/courses-and-learning-paths/hugging-face-hugging-face-llm-course/index.md)

by [Hugging Face](https://huggingface.co/learn/llm-course)

A structured route through the Hugging Face ecosystem.

Intermediate–Advanced · other · open resource · en 

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### [NIST AI glossary](/foundations/courses-and-learning-paths/nist-ai-glossary/index.md)

Creator not supplied; see original source.

NIST AI Resource Center glossary of trustworthy-AI terms from the AI Risk Management Framework, with references.

Intermediate–Advanced · unknown · unknown resource · en 

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### [OECD AI Principles & AI system definition](/foundations/courses-and-learning-paths/oecd-ai-principles-ai-system-definition/index.md)

Creator not supplied; see original source.

OECD.AI page on the OECD AI Principles and the OECD definition of an AI system.

Intermediate–Advanced · unknown · unknown resource · en 

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### [Prince, Understanding Deep Learning](/foundations/courses-and-learning-paths/prince-understanding-deep-learning/index.md)

Creator not supplied; see original source.

Simon Prince's Understanding Deep Learning textbook site with free PDF and Python notebooks.

Intermediate–Advanced · unknown · unknown resource · en 

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### [Stanford CS25 Transformers United V6](/foundations/courses-and-learning-paths/stanford-cs25-transformers-united-v6/index.md)

Creator not supplied; see original source.

Stanford CS25 Transformers United V6 seminar site with talks by researchers on transformer research.

Intermediate–Advanced · unknown · unknown resource · en 

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### [Why Do Multi-Agent LLM Systems Fail?](/foundations/courses-and-learning-paths/why-do-multi-agent-llm-systems-fail/index.md)

Creator not supplied; see original source.

arXiv paper (2025) analysing why multi-agent LLM systems fail, with a taxonomy of 14 failure modes.

Intermediate–Advanced · unknown · unknown resource · en 

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### [Wikipedia: Large language model](/foundations/courses-and-learning-paths/wikipedia-large-language-model/index.md)

Creator not supplied; see original source.

Wikipedia article on large language models: definition, history, architecture, training and limitations.

Intermediate–Advanced · unknown · unknown resource · en 

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### [Yandex ML Handbook (Учебник по машинному обучению)](/foundations/courses-and-learning-paths/yandex-ml-handbook/index.md)

Creator not supplied; see original source.

Yandex School of Data Analysis machine learning handbook in Russian, from classical algorithms to deep learning theory, with maths and code.

Intermediate–Advanced · unknown · unknown resource · ru 

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### [YSDA Practical RL](/foundations/llm-fundamentals/ysda-practical-rl/index.md)

Creator not supplied; see original source.

YSDA Practical_RL GitHub repo: open reinforcement-learning course with notebooks and assignments from HSE and YSDA.

Intermediate–Advanced · unknown · unknown resource · en|ru 

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### [Agent57](/foundations/llm-fundamentals/agent57/index.md)

Creator not supplied; see original source.

arXiv paper (2020) introducing Agent57, the first agent to exceed the human baseline on all 57 Atari games.

Advanced–Expert · unknown · unknown resource · en 

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### [ImageNet Classification with Deep Convolutional Neural Networks (AlexNet)](/foundations/llm-fundamentals/alexnet-2/index.md)

Creator not supplied; see original source.

NeurIPS paper (PDF, 2012) AlexNet: ImageNet classification with deep convolutional neural networks.

Advanced–Expert · unknown · unknown resource · und 

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### [Faster sorting algorithms discovered using deep reinforcement learning (AlphaDev)](/foundations/llm-fundamentals/alphadev-faster-sorting/index.md)

Creator not supplied; see original source.

Nature paper (2023) on AlphaDev discovering faster sorting algorithms with deep RL.

Advanced–Expert · unknown · unknown resource · en 

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### [Mastering the game of Go with deep neural networks and tree search (AlphaGo)](/foundations/llm-fundamentals/alphago-nature-2016/index.md)

Creator not supplied; see original source.

Nature paper (2016) on AlphaGo, mastering Go with deep neural networks and tree search.

Advanced–Expert · unknown · unknown resource · en 

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### [Grandmaster level in StarCraft II using multi-agent reinforcement learning (AlphaStar)](/foundations/llm-fundamentals/alphastar/index.md)

Creator not supplied; see original source.

Nature paper (2019) on AlphaStar reaching grandmaster level in StarCraft II with multi-agent RL.

Advanced–Expert · unknown · unknown resource · en 

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### [Discovering faster matrix multiplication algorithms with reinforcement learning (AlphaTensor)](/foundations/llm-fundamentals/alphatensor/index.md)

Creator not supplied; see original source.

Nature paper (2022) on AlphaTensor discovering faster matrix multiplication algorithms with RL.

Advanced–Expert · unknown · unknown resource · en 

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### [AlphaZero](/foundations/llm-fundamentals/alphazero/index.md)

Creator not supplied; see original source.

arXiv paper (2017) introducing AlphaZero, mastering chess and shogi through self-play reinforcement learning.

Advanced–Expert · unknown · unknown resource · en 

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### [arXiv cs.AI recent](/foundations/courses-and-learning-paths/arxiv-cs-ai-recent/index.md)

Creator not supplied; see original source.

arXiv listing of recent papers in the cs.AI (Artificial Intelligence) category.

Advanced–Expert · unknown · unknown resource · en 

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### [Attention Is All You Need](/foundations/courses-and-learning-paths/attention-is-all-you-need/index.md)

Creator not supplied; see original source.

arXiv paper (2017) "Attention Is All You Need", introducing the Transformer architecture.

Advanced · unknown · unknown resource · en 

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### [Chronos: Learning the Language of Time Series](/foundations/llm-fundamentals/chronos-2/index.md)

Creator not supplied; see original source.

arXiv paper (2024) introducing Chronos, pretrained time-series forecasting models using language-model tokenization.

Advanced–Expert · unknown · unknown resource · en 

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### [CLIP](/foundations/llm-fundamentals/clip/index.md)

Creator not supplied; see original source.

arXiv paper (2021) introducing CLIP, contrastive language-image pretraining for transferable visual models.

Advanced · unknown · unknown resource · en 

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### [Convex Optimization](/foundations/courses-and-learning-paths/convex-optimization/index.md)

Creator not supplied; see original source.

Boyd and Vandenberghe's Convex Optimization book site with free PDF, slides and exercises.

Advanced · unknown · unknown resource · en 

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### [DenseNet](/foundations/llm-fundamentals/densenet/index.md)

Creator not supplied; see original source.

arXiv paper (2016) "Densely Connected Convolutional Networks", introducing DenseNet, where each layer receives feature maps from all earlier layers.

Advanced–Expert · unknown · unknown resource · en 

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### [DETR](/foundations/llm-fundamentals/detr/index.md)

Creator not supplied; see original source.

arXiv HTML version of the DETR paper (2020) on end-to-end object detection with transformers.

Advanced–Expert · unknown · unknown resource · en 

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### [DINOv2: Learning Robust Visual Features without Supervision](/foundations/llm-fundamentals/dinov2-2/index.md)

Creator not supplied; see original source.

arXiv HTML version of the DINOv2 paper (2023) on self-supervised visual features.

Advanced–Expert · unknown · unknown resource · en 

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### [Deep Learning Recommendation Model for Personalization and Recommendation Systems (DLRM)](/foundations/llm-fundamentals/dlrm-2/index.md)

Creator not supplied; see original source.

arXiv PDF of Meta's DLRM paper (2019), a deep learning recommendation model for personalisation.

Advanced–Expert · unknown · unknown resource · und 

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### [DQN (Atari)](/foundations/llm-fundamentals/dqn-atari/index.md)

Creator not supplied; see original source.

arXiv paper (2013) "Playing Atari with Deep Reinforcement Learning", introducing DQN, deep Q-learning from pixels on Atari games.

Advanced–Expert · unknown · unknown resource · en 

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### [DreamerV3](/foundations/llm-fundamentals/dreamerv3/index.md)

Creator not supplied; see original source.

arXiv paper (2023) introducing DreamerV3, a world-model RL agent that masters diverse domains with fixed settings.

Advanced–Expert · unknown · unknown resource · en 

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### [EfficientNet](/foundations/llm-fundamentals/efficientnet/index.md)

Creator not supplied; see original source.

ICML 2019 paper (PDF) EfficientNet: scaling convolutional networks by depth, width and resolution.

Advanced–Expert · unknown · unknown resource · und 

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### [ESPnet](/foundations/llm-fundamentals/espnet/index.md)

Creator not supplied; see original source.

ESPnet documentation: end-to-end speech processing toolkit with recipes for recognition, synthesis and translation.

Advanced · unknown · unknown resource · en 

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