OpenAI News·· 2019-04-23AI 评分28
OpenAI 发布 Sparse Transformer,序列预测长度提升30倍
Generative modeling with sparse transformers
AI 导读
OpenAI 推出 Sparse Transformer,这是一种用于文本、图像和声音序列预测的深度神经网络。该模型通过改进注意力机制算法,实现了比此前技术长30倍的序列模式提取能力,并刷新了相关领域的预测记录。
原文
We’ve developed the Sparse Transformer, a deep neural network which sets new records at predicting what comes next in a sequence—whether text, images, or sound. It uses an algorithmic improvement of the attention mechanism to extract patterns from sequences 30x longer than possible previously.
来源:OpenAI News · openai.com