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DeepSeek-AI: DeepSeek-V3 efficient mixture-of-experts training system

Combined loss-balancing changes, multi-token prediction, FP8 training and pipeline communication overlap in a large mixture-of-experts model.

What is recorded here?

Combined loss-balancing changes, multi-token prediction, FP8 training and pipeline communication overlap in a large mixture-of-experts model.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

MLA and DeepSeekMoE are inherited from earlier work, not new V3 inventions. Reported training GPU hours are not the entire research project's cost. Pinned revision appeared in 2025; original release was 2024.

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People and systems

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities. The recorded author list is incomplete.

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English catalogue narrative

DeepSeek-AI: DeepSeek-V3 efficient mixture-of-experts training system

Combined loss-balancing changes, multi-token prediction, FP8 training and pipeline communication overlap in a large mixture-of-experts model.

Scientific scope

MLA and DeepSeekMoE are inherited from earlier work, not new V3 inventions. Reported training GPU hours are not the entire research project's cost. Pinned revision appeared in 2025; original release was 2024.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Original sources