Implementing DistilBERT: A Distilled BERT Model Code

Implementing DistilBERT: A Distilled BERT Model Code

Source: DeepHub IMBA This article is about 2700 words long and suggests a reading time of 9 minutes. This article takes you into the details of Distil and provides a complete code implementation. This article provides a detailed introduction to DistilBERT and gives a complete code implementation. Machine learning models have become increasingly large, and … Read more

Sentence-BERT: A Siamese Network for Fast Sentence Similarity Computation

Sentence-BERT: A Siamese Network for Fast Sentence Similarity Computation

Follow the public account “ML_NLP“ Set as “Starred“, delivering heavy content promptly! Author: Shining School: Beijing University of Posts and Telecommunications Original article link: https://www.cnblogs.com/gczr/p/12874409.html 1. Background Introduction   BERT and RoBERTa have achieved SOTA results in regression tasks for sentence pairs, such as text semantic similarity. However, they require feeding both sentences into the network … Read more

Roberta: Fine-Tuning Bert

Roberta: Fine-Tuning Bert

Follow the WeChat public account “ML_NLP“ Set as “Starred“, heavy content delivered first hand! Recently, I need to start using Transformers for some tasks, so I specifically recorded related knowledge points to build a relevant and complete knowledge structure system, The following are the articles to be written, this article is the fourth in this … Read more

Summary of BERT-Related Models

Summary of BERT-Related Models

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

Comparison of BERT, RoBERTa, DistilBERT, and XLNet Usage

Comparison of BERT, RoBERTa, DistilBERT, and XLNet Usage

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

Reviewing Progress and Insights on BERT Models

Reviewing Progress and Insights on BERT Models

Authorized Reprint from Microsoft Research AI Headlines Since BERT was published on arXiv, it has gained significant success and attention, opening the Pandora’s box of 2-Stage in NLP. Subsequently, a large number of pre-trained models similar to “BERT” have emerged, including the generalized autoregressive model XLNet that introduces bidirectional context information from BERT, as well … Read more

Choosing Between BERT, RoBERTa, DistilBERT, and XLNet

Choosing Between BERT, RoBERTa, DistilBERT, and XLNet

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

Thoughts on Building Target Maps

Thoughts on Building Target Maps

On the Chaoxing and Zhihuishu course platforms, there are application sections based on the OBE concept for knowledge graphs. Chaoxing refers to it as the target map, while Zhihuishu calls it OBE teaching management. Both are forms of application that measure, evaluate, and provide feedback on the achievement of course objectives under the guidance of … Read more

BERT: Training Longer and with More Data to Return to SOTA

BERT: Training Longer and with More Data to Return to SOTA

Machine Heart Report Contributors: Si Yuan, Qian Zhang The championship throne of XLNet has not yet warmed up, and the plot has once again taken a turn. Last month, XLNet comprehensively surpassed BERT on 20 tasks, creating a new record for NLP pre-training models and enjoyed a moment of glory. However, now, just a month … Read more