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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eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Since their initial development in the seminal AI research ...

Transformers, a groundbreaking architecture in the field of natural language processing (NLP), have revolutionized how machines understand and generate human language. This introduction will delve ...

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, ...