Original by Machine Heart Author: Zeng Xiangji Editor:Hao Wang At the 2019 ACM Turing Conference, Professor Zhu Songchun (UCLA) and Dr. Shen Xiangyang (Microsoft Global Executive Vice President) discussed the topic of “Path Choices in the Age of Artificial Intelligence“. Dr. Shen believes that the development of artificial intelligence will usher in a golden decade … Read more
Produced by Big Data Digest Source:GitHub Compiled by:LYLM, Wang Zhuanzhuan, Li Lei, Qian Tianpei In recent years, the development of machine learning language processing models has progressed rapidly, moving beyond the experimental stage and into application in some advanced electronic products. For example, Google recently announced that the BERT model has become the main driving … Read more
Machine Heart Column Author: Zhang Junlin BERT has brought great surprises to people, but in the blink of an eye, about half a year has passed, and during this time, many new works related to BERT have emerged. In recent months, aside from my main work on recommendation algorithms, I have been quite curious about … Read more
Big Data Digest authorized reprint from Data Pie Compiled by:Sun Siqi, Cheng Yu, Gan Zhe, Liu Jingjing In the past year, there have been many breakthrough advancements in the research of language models, such as GPT, which generates sentences that are convincingly realistic [1]; BERT, XLNet, RoBERTa [2,3,4], etc., have swept various NLP rankings as … Read more
Author: Sebastian Ruder, Translated by QbitAI 2018 was a significant year for the field of NLP. The most notable was BERT, which swept various NLP tests and was hailed as the beginning of a new era in NLP. But in 2018, there was more than just BERT. Recently, Irish NLP researcher Sebastian Ruder wrote an … Read more
Yunzhong from Aofeisi Quantum Bit Report | WeChat Official Account QbitAI How do BERT and ERNIE, the two most关注的 models in the NLP field, perform? Recently, someone conducted a comparison test, and the results were surprising and delightful in a Chinese language environment. What are the specific details? Let’s take a look at this technical … Read more
Article Author: Zhang Junlin, Senior Algorithm Expert at Weibo AI Lab Content Source: Deep Learning Frontier Notes @ Zhihu Column Community Production: DataFun Note: You are welcome to leave messages in the background to submit to DataFun. BERT has brought great surprises to people, but it has been about half a year since then, and … Read more
Big Data Digest and Baidu NLP Jointly Produced Author: Damien Sileo Translators: Zhang Chi, Yi Hang, Long Xin Chen BERT is a natural language processing model recently proposed by Google, which performs exceptionally well in many tasks such as question answering, natural language inference, and paraphrasing, and it is open-source. Therefore, it is very popular … Read more
Original Article from New Intelligence Editors: Zhang Jia, Jin Lei [New Intelligence Overview] The Google NLP model BERT, which once broke 11 records, has recently faced skepticism from netizens: the model’s success in some benchmark tests is merely due to exploiting false statistical cues in the dataset, and without them, it might perform worse than … Read more
Machine Heart Column Author: Xiaomi AI Lab NLP Team When a technology is applied in practice, it often encounters various challenges. Taking BERT as an example, when adapting to business needs, engineers need to make various adjustments according to specific scenarios. This article introduces the practical exploration of the Xiaomi AI Lab NLP team in … Read more