--- id: "/learning-reference/advanced/page/4/" title: "Learning & reference for advanced learners · page 4" url: "https://skillissue.dev/learning-reference/advanced/page/4/" --- # Learning & reference for advanced learners [Beginner](/learning-reference/beginner/index.md) [Intermediate](/learning-reference/intermediate/index.md) [Advanced](/learning-reference/advanced/index.md) [Expert](/learning-reference/expert/index.md) 114 resources · page 4 of 4 - ### [NIST AI glossary](/foundations/courses-and-learning-paths/nist-ai-glossary/index.md) by [NIST](https://www.nist.gov/) NIST AI Resource Center glossary of trustworthy-AI terms from the AI Risk Management Framework, with references. Intermediate–Advanced learning_resource docs US en - ### [OECD AI Principles & AI system definition](/foundations/courses-and-learning-paths/oecd-ai-principles-ai-system-definition/index.md) by [OECD](https://www.oecd.org/) OECD.AI page on the OECD AI Principles and the OECD definition of an AI system. Intermediate–Advanced learning_resource docs global en - ### [Prince, Understanding Deep Learning](/foundations/courses-and-learning-paths/prince-understanding-deep-learning/index.md) by [udlbook](https://github.com/udlbook) Simon Prince's Understanding Deep Learning textbook site with free PDF and Python notebooks. Intermediate–Advanced learning_resource course US en - ### [Stanford CS25 Transformers United V6](/foundations/courses-and-learning-paths/stanford-cs25-transformers-united-v6/index.md) by [Stanford University (CS25)](https://www.stanford.edu/) Stanford CS25 Transformers United V6 seminar site with talks by researchers on transformer research. Intermediate–Advanced learning_resource course US en - ### [Why Do Multi-Agent LLM Systems Fail?](/foundations/courses-and-learning-paths/why-do-multi-agent-llm-systems-fail/index.md) by [Mert Cemri et al. (UC Berkeley)](https://www.berkeley.edu/) arXiv paper (2025) analysing why multi-agent LLM systems fail, with a taxonomy of 14 failure modes. Intermediate–Advanced learning_resource paper US en - ### [Wikipedia: Large language model](/foundations/courses-and-learning-paths/wikipedia-large-language-model/index.md) by [Wikipedia (Wikimedia Foundation)](https://www.wikipedia.org/) Wikipedia article on large language models: definition, history, architecture, training and limitations. Intermediate–Advanced learning_resource docs US en - ### [Yandex ML Handbook (Учебник по машинному обучению)](/foundations/courses-and-learning-paths/yandex-ml-handbook/index.md) by [Yandex Education](https://education.yandex.ru/) Yandex School of Data Analysis machine learning handbook in Russian, from classical algorithms to deep learning theory, with maths and code. Intermediate–Advanced learning_resource book Russia ru - ### [arXiv cs.AI recent](/foundations/courses-and-learning-paths/arxiv-cs-ai-recent/index.md) by [arXiv (Cornell University)](https://arxiv.org/) arXiv listing of recent papers in the cs.AI (Artificial Intelligence) category. Advanced–Expert learning_resource paper US en - ### [Attention Is All You Need](/foundations/courses-and-learning-paths/attention-is-all-you-need/index.md) by [Ashish Vaswani et al. (Google)](https://ai.google/) arXiv paper (2017) "Attention Is All You Need", introducing the Transformer architecture. Advanced learning_resource paper US; international en - ### [Convex Optimization](/foundations/courses-and-learning-paths/convex-optimization/index.md) by [Stephen Boyd and Lieven Vandenberghe (Stanford University)](https://web.stanford.edu/~boyd/) Boyd and Vandenberghe's Convex Optimization book site with free PDF, slides and exercises. Advanced learning_resource guide US en - ### [Kraken](/foundations/courses-and-learning-paths/kraken/index.md) by [Kraken project (EPHE, PSL)](https://kraken.re/) Kraken documentation: open-source text recognition system for historical and non-Latin scripts. Advanced learning_resource docs Europe/global en - ### [Language Models are Few-Shot Learners](/foundations/courses-and-learning-paths/language-models-are-few-shot-learners/index.md) by [Tom B. Brown et al. (OpenAI)](https://openai.com/) arXiv paper (2020) "Language Models are Few-Shot Learners", introducing GPT-3 and in-context few-shot learning. Advanced learning_resource paper US en - ### [OpenNMT](/foundations/courses-and-learning-paths/opennmt/index.md) by [OpenNMT project (Harvard NLP and SYSTRAN)](https://opennmt.net/) OpenNMT site: open-source ecosystem for neural machine translation with training and deployment tools. Advanced learning_resource docs Global en - ### [pgmpy](/foundations/courses-and-learning-paths/pgmpy/index.md) by [pgmpy project](https://pgmpy.org/) pgmpy documentation: Python library for probabilistic graphical models and causal inference. Advanced learning_resource docs International en - ### [Pyro](/foundations/courses-and-learning-paths/pyro/index.md) by [Pyro project (Uber AI Labs)](https://pyro.ai/) Pyro: deep probabilistic programming library on PyTorch with inference tutorials. Advanced learning_resource docs International en - ### [Scaling Laws for Neural Language Models](/foundations/courses-and-learning-paths/scaling-laws-for-neural-language-models/index.md) by [Jared Kaplan et al. (OpenAI)](https://openai.com/) arXiv paper (2020) "Scaling Laws for Neural Language Models", measuring power-law scaling of language model loss with size, data and compute. Advanced learning_resource paper US en - ### [scvi-tools](/foundations/courses-and-learning-paths/scvi-tools/index.md) by [scverse (scvi-tools)](https://scverse.org/) scvi-tools: library of probabilistic deep generative models for single-cell omics data. Advanced learning_resource docs Global en - ### [Switch Transformers](/foundations/courses-and-learning-paths/switch-transformers/index.md) by [William Fedus et al. (Google)](https://ai.google/) arXiv paper (2021) introducing Switch Transformers, sparse mixture-of-experts models scaled to a trillion parameters. Advanced learning_resource paper US en [Previous page](/learning-reference/advanced/page/3/index.md) [Plain-text Markdown copy](/learning-reference/advanced/page/4/index.md)