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EasyInstruct: An Instruction Processing Framework for Large Language Models

EasyInstruct is an easy-to-use instruction processing framework for Large Language Models (LLMs), facilitating instruction generation, selection, and prompting to enhance data quality and diversity.

MAMMOTH: Modular Multilingual Translation Toolkit for Efficient NLP

モジュール式の機械翻訳システムの効率的なトレーニングとスケーリングに焦点を当てたMAMMOTHツールキットが紹介されました。

Unveiling RWKV: Weaknesses, Innovations, and Impact on NLP

RWKV model combines RNN efficiency with Transformer scale, addressing key limitations in NLP.

RWKV: The cheaper and better future of NLP and LLMs?

Analyzing Transformer Models for Natural Language Processing on Embedded Devices

The authors investigate the performance of transformer language models on embedded devices, focusing on resource constraints and accuracy requirements. They explore trade-offs between model size, accuracy, and system resources.

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