据了解，这是首个关于 Transformers 的专题课程。 要说在世界大学公开课中哪些属于精品，斯坦福大学的 CS 课程可谓是榜上有名。这所世界名校先后免费公开了众多课程，有关于自然语言理解的、有关于机器学习的等等。 斯坦福大学的 CS 课程可以说是覆盖范围广 ...

来自 Meta 和北京大学的研究者在 BERT 模型上验证了二值化 transformer 的可行性。 神经网络压缩一直被视为机器学习模型从实验室走向工业应用中的不可或缺的一步，而量化 (quantization) 又是神经网络压缩中最常用的方法之一。今天这篇 NeurIPS 论文 BiT 从实验和理论 ...

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Traditional NLP models struggled to capture long-range dependencies and contextual relationships in language due to their sequential nature. The transformer architecture introduced a novel attention ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Maker of the popular PyTorch-Transformers model library, Hugging Face ...

The goal is sentiment analysis -- accept the text of a movie review (such as, "This movie was a great waste of my time.") and output class 0 (negative review) or class 1 (positive review). This ...

Wei-Shen Wong, Asia Editor, and Anthony Malakian, Editor-in-Chief of WatersTechnology, record a weekly podcast touching on the biggest stories in financial technology. To hear the full interview, ...

Natural language processing (NLP) has been a long-standing dream of computer scientists that dates back to the days of ELIZA and even to the fundamental foundations of computing itself (Turing Test, ...