---
id: "/non-llm-neural-networks-ml-foundations/expert/page/4/"
title: "Non-LLM neural networks & ML foundations for expert learners · page 4"
url: "https://skillissue.dev/non-llm-neural-networks-ml-foundations/expert/page/4/"
---

# Non-LLM neural networks & ML foundations for expert learners

[Beginner](/non-llm-neural-networks-ml-foundations/beginner/index.md) [Intermediate](/non-llm-neural-networks-ml-foundations/intermediate/index.md) [Advanced](/non-llm-neural-networks-ml-foundations/advanced/index.md) [Expert](/non-llm-neural-networks-ml-foundations/expert/index.md)

100 resources · page 4 of 4

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

by [Maximilian Beck et al. (NXAI)](https://www.nx-ai.com/)

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

Advanced–Expert learning_resource paper West en 

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

by [European Union Aviation Safety Agency (EASA)](https://www.easa.europa.eu/)

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

Expert learning_resource guide European Union en 

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

by [Lilian](https://lilianweng.github.io)

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

Expert learning_resource guide US en 

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

by [Albert Gu and Tri Dao (Carnegie Mellon University)](https://www.cmu.edu/)

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

Expert learning_resource paper West en 

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