falcon-xu/early-exit-papers
A curated list of early exiting (LLM, CV, NLP, etc)
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.
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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.
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Last pushed
Aug 21, 2024
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