Author Jay Alammar, Translated by QbitAI | WeChat Official Account QbitAI BERT, as a key player in the field of natural language processing, is an unavoidable topic for NLPer. However, for those with little experience and a weak foundation, mastering BERT can be a bit challenging. Now, tech blogger Jay Alammar has created a “Visual … Read more
Planning | Liu Yan Author | Suleiman Khan Translation | Nuclear Cola Editor | Linda AI Frontline Overview: Google BERT and other transformer-based models have recently swept the entire NLP field, significantly surpassing previous state-of-the-art solutions in various tasks. Recently, Google has made several improvements to BERT, leading to a series of impressive enhancements. In … 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
Selected from GitHub Author: Jay Alammar Contributors: Wang Zijia, Geek AI If you are a natural language processing practitioner, you must have heard of the recently popular BERT model.This article is a detailed tutorial on using a simplified version of the BERT model—DisTillBERT to complete the sentiment classification task of sentences, making it an invaluable … Read more