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Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Tradit...

Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Tradit...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3084092192

Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and Large Language Models

About this item

Full title

Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and Large Language Models

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-07

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Deep learning models have achieved tremendous success in most of the industries in recent years. The evolution of these models has also led to an increase in the model size and energy requirement, making it difficult to deploy in production on low compute devices. An increase in the number of connected devices around the world warrants compressed m...

Alternative Titles

Full title

Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and Large Language Models

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3084092192

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3084092192

Other Identifiers

E-ISSN

2331-8422

How to access this item