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# 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 5 of 5

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### [U-Net](/foundations/llm-fundamentals/u-net/index.md)

Creator not supplied; see original source.

arXiv paper (2015) "U-Net: Convolutional Networks for Biomedical Image Segmentation", introducing the encoder-decoder architecture with skip connections.

Advanced–Expert · unknown · unknown resource · en 

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### [verifiers v1](/foundations/llm-fundamentals/verifiers-v1/index.md)

Creator not supplied; see original source.

Prime Intellect post on verifiers v1, splitting environments into tasksets, harnesses and runtimes for agentic RL and evals.

Advanced · unknown · unknown resource · en 

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### [VGG](/foundations/llm-fundamentals/vgg/index.md)

Creator not supplied; see original source.

arXiv PDF of the VGG paper (2014) on very deep convolutional networks for large-scale image recognition.

Advanced–Expert · unknown · unknown resource · und 

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### [ViT](/foundations/llm-fundamentals/vit/index.md)

Creator not supplied; see original source.

arXiv paper (2020) introducing the Vision Transformer (ViT) for image recognition.

Advanced–Expert · unknown · unknown resource · en 

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### [WaveNet](/foundations/llm-fundamentals/wavenet/index.md)

Creator not supplied; see original source.

arXiv paper (2016) "WaveNet: A Generative Model for Raw Audio", introducing WaveNet, an autoregressive generative model of raw audio.

Advanced–Expert · unknown · unknown resource · en 

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### [Wide & Deep](/foundations/llm-fundamentals/wide-deep/index.md)

Creator not supplied; see original source.

arXiv paper (2016) "Wide & Deep Learning for Recommender Systems", introducing Google's Wide & Deep recommender model.

Advanced–Expert · unknown · unknown resource · en 

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### [xLSTM (NXAI, Linz)](/foundations/llm-fundamentals/xlstm-nxai-linz/index.md)

Creator not supplied; see original source.

arXiv paper (2024) introducing xLSTM, extended long short-term memory with exponential gating and matrix memory.

Advanced–Expert · unknown · unknown resource · en 

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### [YOLO](/foundations/llm-fundamentals/yolo/index.md)

Creator not supplied; see original source.

arXiv paper (2015) "You Only Look Once: Unified, Real-Time Object Detection", introducing YOLO, a single-stage real-time object detector.

Advanced · unknown · unknown resource · en 

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### [EASA AI Concept Paper Proposed Issue 03](/foundations/llm-fundamentals/easa-ai-concept-paper-proposed-issue-03/index.md)

Creator not supplied; see original source.

EASA AI Concept Paper Proposed Issue 03 (PDF), extending aviation AI assurance guidance to more methods and Level 3 automation.

Expert · unknown · unknown resource · en 

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### [Reward Hacking in Reinforcement Learning (Lil'Log)](/foundations/llm-fundamentals/lilian-weng-reward-hacking-in-rl/index.md)

Creator not supplied; see original source.

Lilian Weng's survey of reward hacking in reinforcement learning, including in RLHF and coding tasks.

Expert · unknown · unknown resource · en 

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### [Mamba](/foundations/llm-fundamentals/mamba/index.md)

Creator not supplied; see original source.

arXiv paper (2023) introducing Mamba, linear-time sequence modelling with selective state spaces.

Expert · unknown · unknown resource · en 

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