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A Survey on Efficient Inference for Large Language Models

A Survey on Efficient Inference for Large Language Models

A Survey on Efficient Inference for Large Language Models - arXiv

This paper presents a comprehensive survey of the existing literature on efficient LLM inference. We start by analyzing the primary causes of ...

A Survey on Efficient Inference for Large Language Models - arXiv

[21] center on efficiency research considering both data and model architecture perspectives. Miao et al. [22] approach efficient. LLM inference from a machine ...

[PDF] A Survey on Efficient Inference for Large Language Models

A comprehensive survey of the existing literature on efficient LLM inference is presented, analyzing the primary causes of the inefficient ...

[TMLR 2024] Efficient Large Language Models: A Survey - GitHub

In addition to training, inference also contributes quite significantly to the operational cost of LLMs. Figure 2 (right) depicts the relationship between model ...

Efficient Large Language Models: A Survey | OpenReview

Efficiency is often a broad term since it could be one of model size, training/inference time/memory, and many others. Some methods only target a single ...

Large Language Model — LLM Model Efficient Inference - Medium

This technology is widely used in large model inference because it provides huge optimizations for text generation latency. A typical LLM ...

AI Papers on X: "A Survey on Efficient Inference for Large Language ...

A Survey on Efficient Inference for Large Language Models. https://t.co/oaVBo87R1W.

(PDF) Efficient Large Language Models: A Survey - ResearchGate

efficient techniques that cover research directions related to model compression, efficient pre-training,. efficient fine-tuning, efficient inference, and efficient ...

A Survey On Efficient Inference For Large Language Models - Scribd

A survey on efficient inference for large language models. Zixuan Zhou, Xuefei Ning, Ke Hong, Tianyu Fu, Jiaming Xu, Shiyao Li, Yuming Lou, Luning Wang.

swordlidev/Efficient-Multimodal-LLMs-Survey - GitHub

On speculative decoding for multimodal large language models. arXiv, 2024 [Paper] · An image is worth 1/2 tokens after layer 2: Plug-and-play inference ...

[PDF] Towards Efficient Generative Large Language Model Serving

A Survey on Efficient Inference for Large Language Models · Zixuan ZhouXuefei Ning +12 authors. Yu Wang. Computer Science. ArXiv. 2024. TLDR. A comprehensive ...

Efficient Inference for Large Language Models: A Multi-Level ...

Efficient inference makes powerful language models accessible to a broader range of organizations, not just tech giants with vast computational ...

A Survey on Efficient Inference for Large Language Models

Zixuan Zhou, Xuefei Ning, Ke Hong, Tianyu Fu, Jiaming Xu, Shiyao Li, Yuming Lou, Luning Wang, Zhihang Yuan, Xiuhong Li, Shengen Yan, ...

A Survey on Efficient Inference for Large Language Models | alphaXiv

Large Language Models (LLMs) have attracted extensive attention due to their remarkable performance across various tasks.

A Survey on Efficient Inference for Large Language Models

A comprehensive survey on efficient inference methodologies for Large Language Models (LLMs), which are essential to mitigate their substantial ...

Efficient Large Language Models: A Survey - OpenReview

LLM Frameworks: The advent of LLMs necessitates the development of specialized frameworks to efficiently handle their training, fine-tuning, inference, and ...

A Survey on Efficient Inference for Large Language Models

This paper presents a thorough examination of the latest techniques for making inference with large language models more efficient and practical.

Model Compression and Efficient Inference for Large Language ...

In this paper, we investigate compression and efficient inference methods for large language models from an algorithmic perspective.

Sumit on X: "A Survey on Efficient Inference for Large Language ...

A Survey on Efficient Inference for Large Language Models Reviews techniques for efficient inference of LLMs, categorizing them into ...

A Survey on Efficient Inference for Large Language Models

Conclusion. The ongoing efforts to enhance LLM inference underscore the importance of efficiency in deploying AI technologies in resource-limited scenarios.