“ This article provides a detailed explanation of the two structures in word2vec: CBOW and skip-gram, as well as the two optimization techniques: hierarchical softmax and negative sampling. Understanding these details and principles of the word2vec algorithm is very helpful!” Source: TianMin https://zhuanlan.zhihu.com/p/85998950 Word2vec is a lightweight neural network model that consists of an input … Read more
Reprinted with permission from AI TIME Discussion Author: Liu Zhiyuan Editor: Gege “Language is like amber, preserving many precious and wonderful thoughts safely inside.” Since the dawn of humanity, natural language has carried the wisdom of generations, accumulating endless knowledge. This rich treasure of knowledge has attracted many curious AI researchers to cultivate, explore, and … Read more
Big Data Digest Work Compiled by: Xiao Fan Pen, Zhou Jiayu, Da Jieqiong, Qian Tianpei Douban Water Army Detection, “Game of Thrones” Sequel, and the Ever-More Amazing Google Translate… Recently, various applications of Natural Language Processing (NLP) have been thriving. These NLP applications seem to be incredibly cool, but the principles behind them are not … Read more
In the era of AI, semantic processing will become the core of operating systems, and all software technologies will establish their upper limits based on advancements in semantic technology. By | Gong Zhouzhou Editor | Yan Zi Typesetting Editor | Xiao Shuang Once again, GPT-4 has overshadowed all the established tech companies. In the third … Read more
Hello everyone! I am very glad to have the opportunity to share with you common interview questions in the field of Natural Language Processing (NLP). As an important branch of artificial intelligence, NLP has developed rapidly in recent years and has a wide range of applications in various industries. Familiarity with these interview questions can … Read more
This is a work from Big Data Digest. For reprint requirements, please see the end of the article. Translation Team | Han Yang, Fan Yuecan, Mao Li, Cao Xiang We are now in a world where machines think, learn, and create. Furthermore, their capabilities to do these things will rapidly increase, until in a foreseeable … Read more