What is recorded here?
Trained and evaluated the dense 540-billion-parameter PaLM language model using the Pathways system, reporting few-shot performance across language and reasoning tasks.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
PaLM's benchmark findings and compute configuration are paper-specific; this record is not PaLM 2 or a claim that scaling alone solves general reasoning.
Read the original work
- Chowdhery and colleagues: PaLM language-model scaling with Pathways — original paper
- Chowdhery and colleagues: PaLM language-model scaling with Pathways — company research page
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
Aakanksha Chowdhery; Sharan Narang; Jacob Devlin; Maarten Bosma; Gaurav Mishra; Adam Roberts; Paul Barham; Hyung Won Chung; Charles Sutton; Sebastian Gehrmann; Parker Schuh; Kensen Shi; Sasha Tsvyashchenko; Joshua Maynez; Abhishek Rao; Parker Barnes; Yi Tay; Noam Shazeer; Vinodkumar Prabhakaran; Emily Reif; Nan Du; Ben Hutchinson; Reiner Pope; James Bradbury; Jacob Austin; Michael Isard; Guy Gur-Ari; Pengcheng Yin; Toju Duke; Anselm Levskaya; Sanjay Ghemawat; Sunipa Dev; Henryk Michalewski; Xavier Garcia; Vedant Misra; Kevin Robinson; Liam Fedus; Denny Zhou; Daphne Ippolito; David Luan; Hyeontaek Lim; Barret Zoph; Alexander Spiridonov; Ryan Sepassi; David Dohan; Shivani Agrawal; Mark Omernick; Andrew M. Dai; Thanumalayan Sankaranarayana Pillai; Marie Pellat; Aitor Lewkowycz; Erica Moreira; Rewon Child; Oleksandr Polozov; Katherine Lee; Zongwei Zhou; Xuezhi Wang; Brennan Saeta; Mark Diaz; Orhan Firat; Michele Catasta; Jason Wei; Kathy Meier-Hellstern; Douglas Eck; Jeff Dean; Slav Petrov; Noah Fiedel
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.
Research locations and affiliations
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English catalogue narrative
Chowdhery and colleagues: PaLM language-model scaling with Pathways
Trained and evaluated the dense 540-billion-parameter PaLM language model using the Pathways system, reporting few-shot performance across language and reasoning tasks.
Scientific scope
PaLM's benchmark findings and compute configuration are paper-specific; this record is not PaLM 2 or a claim that scaling alone solves general reasoning.
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
Aakanksha Chowdhery; Sharan Narang; Jacob Devlin; Maarten Bosma; Gaurav Mishra; Adam Roberts; Paul Barham; Hyung Won Chung; Charles Sutton; Sebastian Gehrmann; Parker Schuh; Kensen Shi; Sasha Tsvyashchenko; Joshua Maynez; Abhishek Rao; Parker Barnes; Yi Tay; Noam Shazeer; Vinodkumar Prabhakaran; Emily Reif; Nan Du; Ben Hutchinson; Reiner Pope; James Bradbury; Jacob Austin; Michael Isard; Guy Gur-Ari; Pengcheng Yin; Toju Duke; Anselm Levskaya; Sanjay Ghemawat; Sunipa Dev; Henryk Michalewski; Xavier Garcia; Vedant Misra; Kevin Robinson; Liam Fedus; Denny Zhou; Daphne Ippolito; David Luan; Hyeontaek Lim; Barret Zoph; Alexander Spiridonov; Ryan Sepassi; David Dohan; Shivani Agrawal; Mark Omernick; Andrew M. Dai; Thanumalayan Sankaranarayana Pillai; Marie Pellat; Aitor Lewkowycz; Erica Moreira; Rewon Child; Oleksandr Polozov; Katherine Lee; Zongwei Zhou; Xuezhi Wang; Brennan Saeta; Mark Diaz; Orhan Firat; Michele Catasta; Jason Wei; Kathy Meier-Hellstern; Douglas Eck; Jeff Dean; Slav Petrov; Noah Fiedel
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.