Select your cookie preferences

We use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.

If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”

全部文章
共篇
BBT 大模型基于时序-文本跨模态架构,融合训练文本和时序两种模态数据,下游任务准确率较 T5 同级别模型提升近10%,并大幅提高时序预测的 R2 score。
让预训练语言模型读懂数字:超对称技术发布10亿参数 BigBang Transformer 【乾元】金融大规模预训练语言模型