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RESEARCH
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Compute spending will vastly outpace data investment
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do you really think? im pretty sure we will outspend on compute by a _huge_ margin, and at least for companies like openai data spend will go down as models get smarter. curious if i am missing something!
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Safer E2E Conversational AI Through Value Sensitive Design
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(11/12) Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design
Authors: A. Stevie Bergman, @gavin_does_nlp
, Shannon Spruit, @dirk_hovy, @em_dinan
, Y-Lan Boureau, Verena Rieser -

Memory-Efficient NLLB-200: Language-Specific Expert Pruning
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(10/12) Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model
Authors: Yeskendir Koishekenov, Vassilina Nikoulina, Alexandre Berard -

Activation Compression for Model Parallel Training
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(9/12) Does compressing activations help model parallel training?
Authors: @bian_song
, @DachengLi177
, Hongyi Wang, @ericxing
, Shivaram Venkataraman -

SparseGPT: One-Shot Pruning of Massive Language Models
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(8/12) SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot
Authors: @elias_frantar
, @DAlistarh -

Large Language Models as Reasoning Teachers
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(7/12) Large Language Models Are Reasoning Teachers
Authors: @itsnamgyu
, Laura Schmid, Se-Young Yun -

Teaching Small Language Models to Reason
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(6/12) Teaching Small Language Models to Reason
Authors: Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adamek, @ericmalmi
, Aliaksei Severyn -

CiT: Data Curation Methods for Vision-Language Model Training
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(5/12) CiT: Curation in Training for Effective Vision-Language Data
Authors: Hu Xu, @sainingxie
, Po-Yao Huang, @Licheng_Yu
, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, @cfeichtenhofer -

A Watermark for Large Language Models
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(4/12) A Watermark for Large Language Models
Authors: @jwkirchenbauer
, @jonasgeiping
, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein
