
【第163期】Encoder-Decoder架构的SLM
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今天的主题是:
Return of the Encoder: Maximizing Parameter Efficiency for SLMs
Summary
This paper challenges the current trend of using decoder-only architectures for language models, particularly for smaller language models (SLMs). It argues that encoder-decoder architectures offer superior efficiency and performance in resource-constrained environments, especially regarding latency and throughput on edge devices. The researchers introduce a knowledge distillation framework that allows encoder-decoder models to learn from larger decoder-only models while…
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