Follow the official account “ML_NLP“ Set as “Starred“, essential content delivered promptly! From | Zhihu Address | https://zhuanlan.zhihu.com/p/85506365 Author | debuluoyi Editor | Machine Learning Algorithms and Natural Language Processing Official Account This article is for academic sharing only. If there is infringement, please contact us to delete it. 1. Overview Before introducing deep interaction … Read more
Follow the official account “ML_NLP“ Set as “Starred“, heavy content delivered instantly! Reprinted from｜PaperWeekly ©PaperWeekly Original · Author｜Xiong Zhiwei School｜Tsinghua University Research Direction｜Natural Language Processing BERT has gained significant success and attention since its introduction in 2018. Based on this, various related models have been proposed in academia to improve BERT. This article attempts to … Read more
Source: Deephub Imba This article is about 1500 words long and takes about 5 minutes to read. In this article, we want to demonstrate how to use the pre-trained weights of an encoder-only model to provide a good starting point for our fine-tuning. BERT is a famous and powerful pre-trained encoder model. Let’s see how … Read more
Click on the above “MLNLP” to select the “Star” public account Heavyweight content delivered at the first time Reprinted from the public account: AI Technology Review Introduction:Which is stronger, BERT, RoBERTa, DistilBERT, or XLNet?Choosing among different research fields and application scenarios has become a big challenge.Don’t panic, this article will help you clarify your thoughts. … Read more
Author: Chen Zhiyan This article is about 4400 words long and is recommended to read in over 10 minutes. The article provides a detailed interpretation of the source code for the BERT model pre-training task, analyzing each implementation step of the BERT source code in the Eclipse development environment. The BERT model architecture is an … Read more
MLNLP(Machine Learning Algorithms and Natural Language Processing) community is one of the largest natural language processing communities in China and abroad, gathering over 500,000 subscribers, with an audience covering NLP master’s and doctoral students, university teachers, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial … Read more
Source: Computer Vision and Machine Learning Author: Jay Alammar Link: https://jalammar.github.io/illustrated-bert/ This article is about 4600 words long and is recommended to read in 8 minutes. In this article, we will study the BERT model and understand how it works, which is of great reference value for students in other fields. Since Google announced BERT’s … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and researchers from enterprises. The Vision of the Community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for the … Read more
1 Algorithm Introduction The full name of BERT is Bidirectional Encoder Representation from Transformers, which is a pre-trained language representation model. It emphasizes that pre-training is no longer conducted using traditional unidirectional language models or by shallowly concatenating two unidirectional language models, but rather by adopting a new masked language model (MLM) to generate deep … Read more
Mingmin from Aofeisi Quantum Bit | Public Account QbitAI It must be said that to enable more people to use large models, the tech community is indeed coming up with various tricks! Not open enough models? Some people are taking matters into their own hands to create free open-source versions. For example, the recently popular … Read more