Sep 25, 2024 · In this paper, we propose a training-free architecture search framework to identify optimal subnets that preserve the fundamental strengths of ...
Sep 25, 2024 · In this paper, we propose a training-free architecture search framework to identify optimal subnets that preserve the fundamental strengths of the original ...
A curated list for Efficient Large Language Models. Full List. Please check out all the papers by selecting the sub-area you're interested in.
In this survey, we provide a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main ...
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Here we aim to reduce the costs of Transformers by searching for a more efficient variant. Compared to previous approaches, our search is performed at a lower ...
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Sep 26, 2024 · This paper explores methods for improving the efficiency of large language models (LLMs) by reducing their size and computational requirements.
Parameter-efficient tuning (PET) methods fit pre-trained language models (PLMs) to downstream tasks by either computing a small compressed update for a subset ...
Sep 27, 2024 · Large Language Models (LLMs) have long held sway in the realms of artificial intelligence research. Numerous efficient techniques, including ...
efficiency techniques for LLMs. ... efficient techniques that cover research directions related to model compression, efficient pre-training,. efficient fine-tuning, ...
Mar 28, 2023 · Trained using the Chinchilla formula, these models set new benchmarks for accuracy and compute efficiency.
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