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The Optimization of the Inference Efficiency and Ethical Alignment of Large Language Models via Dynamic Token Flow Mechanism

2024-10-28

Abstract excerpt

Language models have emerged as powerful tools for generating human-like text, but their growing complexity presents significant challenges in balancing computational efficiency with ethical considerations. The need to optimize the inference process while reducing biases and hallucinations has driven the development of novel techniques that integrate both performance and responsibility into a unified framework. Th...

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Literature Corpus work
e1cb5e65-ec86-53bf-a04d-64a3a3e79887
DOI
10.22541/au.173015967.70654029/v1
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The Optimization of the Inference Efficiency and Ethical Alignment of Large Language Models via Dynamic Token Flow MechanismDOI 10.22541/au.173015967.70654029/v1
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