falcon-xu/early-exit-papers

A curated list of early exiting (LLM, CV, NLP, etc)

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Emerging

This is a collection of academic papers focused on 'early exiting' techniques for large language models (LLMs) and other AI models. It helps AI researchers and practitioners find studies that propose methods to make these complex models process information and generate results faster. The collection provides direct links to research papers, with some also offering links to their accompanying code.

No commits in the last 6 months.

Use this if you are researching ways to improve the speed and efficiency of AI model inference, particularly for large language models.

Not ideal if you are looking for ready-to-use software or a non-technical overview of AI model optimization.

AI-efficiency NLP-research LLM-optimization machine-learning-performance computational-linguistics
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 8 / 25

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MIT

Last pushed

Aug 21, 2024

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