一场关于Transformer专利的讨论，正在两个世界里以截然不同的方式展开。 在AI圈，它几乎没引起任何波澜。 对他们而言，Transformer是一种常识级的存在，几乎像空气一样不言自明。他们认为：Transformer不仅是一项技术，更是一个生态。大家都在用，也早已与最初的 ...

this input includes 3 sequences and the maximum length is 5. If we just simply treat it as a 3x5 matrix, only 7 out of 15 values are meaningful. In Effective Transformer, we still take the input batch ...

研究人员提出了一种名为“电路追踪”的方法。 它利用跨层编码器（CLT）替代原模型中的多层感知机 （MLP），搭建出和原模型相似的替代模型。 大模型工作机制的黑盒，终于被Claude团队揭开了神秘面纱！ 团队创造了一种解读大模型思考方式的新工具，就像给大 ...

A convolutional neural network (CNN) based on a transformer model is also developed, leveraging transfer learning to enhance prediction accuracy, efficiency, and generalization. Experimental results ...

“The fire involved a transformer comprising 25,000 liters of cooling oil fully alight,” said London Fire Brigade Deputy Commissioner Jonathan Smith during a press briefing. “This created a ...

在过去的一两年中，Transformer 架构不断面临来自新兴架构的挑战。 在众多非 Transformer 架构中，Mamba 无疑是声量较大且后续发展较好的一个。然而 ...

位置编码（Postitional Encoding）是Transformer架构中的关键技术之一。不同于卷积神经网络利用局部感受野、共享权重和池化操作等机制，可以自然地感受输入数据的空间位置信息，也不同于循环神经网络凭借循环结构和隐藏状态的记忆与更新机制，能够隐式地捕捉 ...

Tencent claimed to be the first in the industry to adopt a hybrid architecture combining Google’s Transformer and Mamba, developed by Carnegie Mellon University and Princeton University.

Despite the advent of Transformer-based models with an advanced network structure and excellent prediction performance, standard Transformer models are still struggling to combine both spatial ...

Film efficient net based image tokenizer backbone Token learner based compression of input tokens Transformer for end to end robotic control Testing utilities ...