--- id: "/foundations/llm-fundamentals/page/3/" title: "Llm Fundamentals: 139 curated resources · page 3" creator: null creator_url: null creator_x: null url: "https://skillissue.dev/foundations/llm-fundamentals/page/3/" level: null level_max: null category: null subcategory: null region: null license: null license_scope: null access: null models: null source_date: null date_added: null resource_kind: null verification_basis: null access_evidence: null domain_top: null domain_sub: null last_verified: null --- # Llm Fundamentals: 139 curated resources Curated material on llm fundamentals within foundations. [Beginner](/foundations/beginner/index.md) [Intermediate](/foundations/intermediate/index.md) [Advanced](/foundations/advanced/index.md) [Expert](/foundations/expert/index.md) 139 resources · page 3 of 5 - ### [AlphaStar: Mastering the real-time strategy game StarCraft II](/foundations/llm-fundamentals/alphastar-2/index.md) Creator not supplied; see original source. Google DeepMind post on AlphaStar, the reinforcement-learning system that reached Grandmaster level in StarCraft II. Intermediate · unknown · unknown resource · en - ### [AssemblyAI engineering blog](/foundations/llm-fundamentals/assemblyai-engineering-blog/index.md) Creator not supplied; see original source. AssemblyAI blog with guides, model launches and voice-agent builds for speech AI. Intermediate · unknown · unknown resource · en - ### [Easy-RL / 蘑菇书](/foundations/llm-fundamentals/easy-rl/index.md) Creator not supplied; see original source. Datawhale Easy-RL GitHub repo: Chinese reinforcement-learning tutorial (Mushroom Book) with code. Intermediate · unknown · unknown resource · zh - ### [Full Stack Deep Learning](/foundations/llm-fundamentals/full-stack-deep-learning/index.md) Creator not supplied; see original source. Full Stack Deep Learning site with course materials and LLM Bootcamp lectures on building AI-powered products. Intermediate · unknown · unknown resource · en - ### [Karpathy: Unreasonable Effectiveness of RNNs](/foundations/llm-fundamentals/karpathy-unreasonable-effectiveness-of-rnns/index.md) Creator not supplied; see original source. Andrej Karpathy's 2015 essay The Unreasonable Effectiveness of Recurrent Neural Networks, with char-RNN examples. Intermediate · unknown · unknown resource · und - ### [LightGBM documentation](/foundations/llm-fundamentals/lightgbm-documentation/index.md) Creator not supplied; see original source. LightGBM documentation: gradient boosting framework with tree-based learning, tuning guides and distributed training. Intermediate · unknown · unknown resource · en - ### [Recurrent Neural Networks and LSTM (Jürgen Schmidhuber)](/foundations/llm-fundamentals/lstm/index.md) Creator not supplied; see original source. Jürgen Schmidhuber's IDSIA page on recurrent neural networks and LSTM, with history and references. Intermediate · unknown · unknown resource · und - ### [NYU Deep Learning (LeCun/Canziani)](/foundations/llm-fundamentals/nyu-deep-learning-lecun-canziani/index.md) Creator not supplied; see original source. NYU Deep Learning course (Spring 2021) by Yann LeCun and Alfredo Canziani, with lectures, labs and notebooks. Intermediate · unknown · unknown resource · en - ### [OECD AI Recommendation (OECD-LEGAL-0449)](/foundations/llm-fundamentals/oecd-ai-recommendation-oecd-legal-0449/index.md) Creator not supplied; see original source. OECD Recommendation of the Council on Artificial Intelligence, the source of the OECD AI Principles and AI system definition. Intermediate · unknown · unknown resource · en|fr - ### [PDE-Transformer](/foundations/llm-fundamentals/pde-transformer/index.md) Creator not supplied; see original source. PDE-Transformer project page: transformer architecture for learning partial differential equations from data. Intermediate · unknown · unknown resource · und - ### [Physics-based Deep Learning (TUM)](/foundations/llm-fundamentals/physics-based-deep-learning-tum/index.md) Creator not supplied; see original source. Physics-based Deep Learning book from TUM: hands-on guide to combining physical simulation with deep learning. Intermediate · unknown · unknown resource · en - ### [PointNet](/foundations/llm-fundamentals/pointnet/index.md) Creator not supplied; see original source. PointNet project page: deep network architecture that consumes raw point clouds for 3D classification and segmentation. Intermediate · unknown · unknown resource · und - ### [Roboflow documentation](/foundations/llm-fundamentals/roboflow-documentation/index.md) Creator not supplied; see original source. Roboflow documentation for building computer-vision datasets, training models and deploying them. Intermediate · unknown · unknown resource · en - ### [sktime](/foundations/llm-fundamentals/sktime/index.md) Creator not supplied; see original source. sktime: open-source Python framework for time-series forecasting, classification and anomaly detection. Intermediate · unknown · unknown resource · en - ### [Soniox Docs: Models](/foundations/llm-fundamentals/soniox-speech-model-registry-and-lifecycle-notes/index.md) Creator not supplied; see original source. Soniox models page listing speech-to-text model versions, changelog and deprecations. Intermediate · unknown · unknown resource · en - ### [Speechmatics technical articles](/foundations/llm-fundamentals/speechmatics-technical-articles/index.md) Creator not supplied; see original source. Speechmatics articles on speech recognition technology, product news and AI research. Intermediate · unknown · unknown resource · en - ### [UvA Deep Learning tutorials](/foundations/llm-fundamentals/uva-deep-learning-tutorials/index.md) Creator not supplied; see original source. University of Amsterdam deep learning tutorial notebooks in PyTorch and JAX/Flax, covering core architectures. Intermediate · unknown · unknown resource · en - ### [XGBoost documentation](/foundations/llm-fundamentals/xgboost-documentation/index.md) Creator not supplied; see original source. XGBoost documentation: distributed gradient boosting library with training, GPU support and parameter guides. Intermediate · unknown · unknown resource · en - ### [YSDA Practical Deep Learning](/foundations/llm-fundamentals/ysda-practical-deep-learning/index.md) Creator not supplied; see original source. YSDA Practical_DL GitHub repo: deep learning course materials from Yandex School of Data Analysis, HSE and Skoltech. Intermediate · unknown · unknown resource · en - ### [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 - ### [Zoom Scribe API documentation](/foundations/llm-fundamentals/zoom-scribe-speech-to-text-api-documentation/index.md) Creator not supplied; see original source. Zoom Scribe API documentation: transcription service for many media formats, with modes and authentication details. Intermediate · unknown · unknown resource · en - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 - ### [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 [Previous page](/foundations/llm-fundamentals/page/2/index.md) [Next page](/foundations/llm-fundamentals/page/4/index.md) [Plain-text Markdown copy](/foundations/llm-fundamentals/page/3/index.md)