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// ✳ Mixture of Experts

Auxiliary-Loss-Free Load Balancing

Balances expert load with dynamic biases instead of an extra loss.

无辅助损失负载均衡 2024 Advanced core

IN PLAIN WORDS

Balancing losses interfere with the main objective. Instead, add a per-expert bias to routing scores, lowered when overloaded and raised when idle.

Used in: DeepSeek-V3

TIMELINE · prerequisites → this → what builds on it

2024 DeepSeekMoE (…2024 Auxiliary-Loss-Fr…

01Original paper

Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts

Lean Wang, Huazuo Gao, 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

Auxiliary-Loss-Free Load Balancing

Then you can learn

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Related:Switch Transformer

DeepSeekMoE (Fi…Switch Transfor… Auxiliary-Loss-Free…

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

For AI / data

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