Foundations
Understand language models and choose a learning path.
- Llm Fundamentals (139)
- Courses And Learning Paths (179)
- From Scratch Implementations (1)
- Practitioner Overviews (387)
706 resources · page 20 of 23
sktime
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sktime: open-source Python framework for time-series forecasting, classification and anomaly detection.
Soniox Docs: Models
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Soniox models page listing speech-to-text model versions, changelog and deprecations.
Speechmatics technical articles
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Speechmatics articles on speech recognition technology, product news and AI research.
Stanford CS229
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Stanford CS229 Machine Learning course site with lecture notes on learning algorithms and statistical foundations.
Stanford CS25 Transformers United V6
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Stanford CS25 Transformers United V6 seminar site with talks by researchers on transformer research.
Recode China AI
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Tony Peng's Recode China AI: weekly English newsletter on Chinese AI labs, models and trends.
The Convergence of AI and Creativity: Introducing Ghostwriter (Ubisoft)
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Ubisoft post introducing Ghostwriter, an in-house AI tool that drafts NPC dialogue barks for writers.
UK Government AI Playbook
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AI Playbook for the UK Government: principles and guidance for civil servants on using AI safely, including procurement.
UNESCO guidance for generative AI in education and research
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UNESCO guidance on generative AI in education and research for governments and institutions.
UvA Deep Learning tutorials
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University of Amsterdam deep learning tutorial notebooks in PyTorch and JAX/Flax, covering core architectures.
Vizuara (Raj Dandekar)
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Vizuara YouTube channel (Raj Dandekar): lecture series on building an LLM from scratch.
Wang Shusen 王树森
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Wang Shusen's YouTube channel: Chinese lectures on RL, transformers and recommender systems.
Why Do Multi-Agent LLM Systems Fail?
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arXiv paper (2025) analysing why multi-agent LLM systems fail, with a taxonomy of 14 failure modes.
Wikipedia: Large language model
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Wikipedia article on large language models: definition, history, architecture, training and limitations.
XGBoost documentation
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XGBoost documentation: distributed gradient boosting library with training, GPU support and parameter guides.
Applied LLMs: What We've Learned From A Year of Building with LLMs
by Yan, Bischof, Frye, Husain, Liu, Shankar
Cross-functional lessons from building language-model applications.
Yandex ML Handbook (Учебник по машинному обучению)
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Yandex School of Data Analysis machine learning handbook in Russian, from classical algorithms to deep learning theory, with maths and code.
YSDA NLP course
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YSDA nlp_course GitHub repo: natural-language-processing course from Yandex School of Data Analysis with lectures and notebooks.
YSDA Practical Deep Learning
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YSDA Practical_DL GitHub repo: deep learning course materials from Yandex School of Data Analysis, HSE and Skoltech.
YSDA Practical RL
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YSDA Practical_RL GitHub repo: open reinforcement-learning course with notebooks and assignments from HSE and YSDA.
Zoom Scribe API documentation
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Zoom Scribe API documentation: transcription service for many media formats, with modes and authentication details.
Agent57
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arXiv paper (2020) introducing Agent57, the first agent to exceed the human baseline on all 57 Atari games.
ImageNet Classification with Deep Convolutional Neural Networks (AlexNet)
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NeurIPS paper (PDF, 2012) AlexNet: ImageNet classification with deep convolutional neural networks.
Faster sorting algorithms discovered using deep reinforcement learning (AlphaDev)
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Nature paper (2023) on AlphaDev discovering faster sorting algorithms with deep RL.
Mastering the game of Go with deep neural networks and tree search (AlphaGo)
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Nature paper (2016) on AlphaGo, mastering Go with deep neural networks and tree search.
Grandmaster level in StarCraft II using multi-agent reinforcement learning (AlphaStar)
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Nature paper (2019) on AlphaStar reaching grandmaster level in StarCraft II with multi-agent RL.
Discovering faster matrix multiplication algorithms with reinforcement learning (AlphaTensor)
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Nature paper (2022) on AlphaTensor discovering faster matrix multiplication algorithms with RL.
AlphaZero
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arXiv paper (2017) introducing AlphaZero, mastering chess and shogi through self-play reinforcement learning.
arXiv cs.AI recent
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arXiv listing of recent papers in the cs.AI (Artificial Intelligence) category.
Attention Is All You Need
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arXiv paper (2017) "Attention Is All You Need", introducing the Transformer architecture.
Chronos: Learning the Language of Time Series
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arXiv paper (2024) introducing Chronos, pretrained time-series forecasting models using language-model tokenization.
CLIP
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arXiv paper (2021) introducing CLIP, contrastive language-image pretraining for transferable visual models.