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