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// ✳ Mixture of Experts

DeepSeekMoE (Fine-Grained & Shared Experts)

Finer-grained experts plus always-on shared experts for specialization.

DeepSeekMoE 细粒度专家 2024 Advanced core

IN PLAIN WORDS

Split experts into many smaller ones and activate more of them for flexible combinations, plus shared experts every token uses for common knowledge.

Used in: DeepSeek-V2/V3/R1, Qwen MoE models

TIMELINE · prerequisites → this → what builds on it

2024 Mixtral (Top-…2024 DeepSeekMoE (Fine…2024 Auxiliary-Los…

01Original paper

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Damai Dai, Chengqi Deng, Chenggang Zhao, et al. · 2024

arXiv ↗ ✓ Verified · arXiv API

02Where it sits

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

Learn first

DeepSeekMoE (Fine-Grained & Shared Experts)

Then you can learn

Related:Multi-head Latent Attention (MLA)

Mixtral (Top-2 …Auxiliary-Loss-…Multi-head Late… DeepSeekMoE (Fine-G…

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

03Learning resources

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

04Where the course teaches it

On learning paths:Understanding an LLM End to End

For AI / data

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