Should we care about machine learning model explainability? Can it be done through conversations? Join @hima_lakkaraju and @JayAlammar to learn more about ML explainability and TalkToModel, an interactive dialogue system for explaining ML models! https://
info.cohere.ai/talking-langua
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@cohere
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Machine Learning Explainability Through Conversational AI Systems
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Learn NLP Applications in Your Work Today
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Join us later at 12pm EST to learn about the power of NLP and how you can apply that to your work!
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Dot Product and Cosine Similarity in NLP Explained
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In this post, @luis_likes_math defines two types of similarities for sentences: dot product similarity and cosine similarity. These similarities are very useful in determining if two sentences are similar or different. Learn more about similarity in NLP in this exciting post:
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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