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Improving LLM Inference Efficiency through Chunked Prefills and Piggybacked Decodes

Improving LLM Inference Efficiency through Chunked Prefills and Piggybacked Decodes

by instadatahelp | Sep 1, 2023 | AI Blogs

arXivLabs is a platform where collaborators can create and share new features for arXiv directly on our website. Both individuals and organizations that participate in arXivLabs are aligned with our values of openness, community, excellence, and user data privacy. We...

The Phenomenon of Benign Overfitting in Ridge Regression

by instadatahelp | Sep 1, 2023 | AI Blogs

Benign overfitting in ridge regression Alexander Tsigler, Peter L. Bartlett; 24(123):1−76, 2023. Abstract Many modern applications of deep learning involve neural networks with a large number of parameters compared to the amount of training data. This has led to a...
Improving LLM Inference Efficiency through Chunked Prefills and Piggybacked Decodes

An Integrated Examination of Subgradient Methods in the Optimization of Composite Nonconvex, Nonsmooth, and Non-Lipschitz Functions.

by instadatahelp | Sep 1, 2023 | AI Blogs

This paper presents a new method called Prox-SubGrad for solving nonconvex and nonsmooth optimization problems without the need for Lipschitz continuity conditions. The authors introduce several subgradient upper bounds and discuss their relationships. These upper...

An Algorithmic Framework with Theoretical Guarantees

by instadatahelp | Sep 1, 2023 | AI Blogs

Clustering with Tangles: Algorithmic Framework and Theoretical Guarantees Solveig Klepper, Christian Elbracht, Diego Fioravanti, Jakob Kneip, Luca Rendsburg, Maximilian Teegen, Ulrike von Luxburg; Volume 24, Issue 190, Pages 1-56, 2023. Abstract Tangles were...
Improving LLM Inference Efficiency through Chunked Prefills and Piggybacked Decodes

The Impact of Emoji on GitHub: Encouraging Developer Engagement and Resolving Issues (arXiv:2308.16360v1 [cs.CY])

by instadatahelp | Sep 1, 2023 | AI Blogs

Despite the growing adoption of remote working during the pandemic, there is a concern about the decreased efficiency in this type of work. One of the reasons for this is the lack of non-verbal cues, such as facial expressions and body language, in text-based...
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