What is recorded here?
Simplified sparse mixture-of-experts routing for transformers with one expert selected per token and reported faster large-scale pre-training and trillion-parameter models.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
This is the 2021 first preprint, later published in JMLR 2022; it does not invent MoE or imply that a trillion parameters are active per token.
Read the original work
- Fedus and colleagues: Switch Transformer sparse expert routing — original paper
- Fedus and colleagues: Switch Transformer sparse expert routing — company research source
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
William Fedus; Barret Zoph; Noam Shazeer
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.
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English catalogue narrative
Fedus and colleagues: Switch Transformer sparse expert routing
Simplified sparse mixture-of-experts routing for transformers with one expert selected per token and reported faster large-scale pre-training and trillion-parameter models.
Scientific scope
This is the 2021 first preprint, later published in JMLR 2022; it does not invent MoE or imply that a trillion parameters are active per token.
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
William Fedus; Barret Zoph; Noam Shazeer
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.