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// ∿ New Architectures: SSM & Linear Attention

Retentive Network (RetNet)

An attention alternative with parallel, recurrent and chunkwise modes.

RetNet 保留网络 2023 Advanced extended

Original paper ↓ What to learn first →

IN PLAIN WORDS

A decayed retention mechanism replaces softmax attention: parallel for training, recurrent with O(1) per-step inference, chunkwise for long inputs.

Used in: Linear-attention research

TIMELINE · prerequisites → this → what builds on it

2020 Linear Attent…2023 Retentive Network…

01Original paper

Retentive Network: A Successor to Transformer for Large Language Models

Yutao Sun, Li Dong, Shaohan Huang, et al. · 2023

arXiv ↗ ✓ Verified · arXiv API

02Where it sits

Learn the left column first; the right column builds on this one.

Learn first

Retentive Network (RetNet)

Then you can learn

  • Nothing in the atlas builds on it yet

Related:Gated Delta Networks

Linear AttentionGated Delta Net… Retentive Network (…

Left: prerequisites · right: builds on this · dashed: related. Full map →

03Learning resources

Official docs, explainers, courses and reference code. All links checked.

Reference code

04Where the course teaches it

U43 MoE & Beyond-Transformer Architectures Sparse experts, load balancing, Mamba/SSMs, linear attention and hybrid architectures, diffusion language models. 10 h18 algorithms5 papers
For AI / data

Data updated: AI algorithms & curriculum(UTC+8)