Application of Attention Mechanism in “Attention is All You Need” 3.2.3 3.2.3 Application of Attention Mechanism in Our Model The Transformer uses three different ways of multi-head attention mechanism as follows: In the “encoder-decoder attention” layer, queries come from the previous layer of the decoder, while memory keys and values come from the output of … Read more
This article will cover three aspects of the essence of Transformer, the principles of Transformer, and the applications of Transformer, helping you understand Transformer (overall architecture & three types of attention layers) in one article. Transformer 1. Essence of Transformer The origin of Transformer:The Google Brain translation team proposed a novel simple network architecture called … Read more
Yann LeCun announced on February 25, 2023, Beijing time, that Meta AI has publicly released LLaMA (Large Language Model Meta AI), a large language model that includes four parameter sizes: 7 billion, 13 billion, 33 billion, and 65 billion. The aim is to promote research on the miniaturization and democratization of LLMs. Guillaume Lample claimed … Read more
Data Digest authorized reprint from Xi Xiaoyao’s Cute Selling House Author: iven From GPT-3 to prompts, more and more people have discovered that large models perform very well under zero-shot learning settings. This has led to increasing expectations for the arrival of AGI. However, one thing is very puzzling: In 2019, T5 discovered through “hyperparameter … Read more
Selected from arXiv Authors: Chenguang Wang, Mu Li, Alexander J. Smola Compiled by Machine Heart Participation: Panda BERT and GPT-2 are currently the two most advanced models in the field of NLP, both adopting a Transformer-based architecture. A recent paper from Amazon Web Services proposed several new improvements to Transformers, including architectural enhancements, leveraging prior … 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
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
Authorized Reprint from Andy’s Writing Room Author:ANDY The BERT pre-trained model is like a pig ready for cooking, and fine-tuning is the cooking method. The pig’s head can be made into fragrant and rich roasted pig head meat, the trotters can be made into hearty braised trotters, and the various cuts like pork belly and … Read more
Reading time required 6 minutes Speed reading only takes 2 minutes Please respect the original labor resultsReprint must indicate the link to this articleand the author: Machine Learning Heart Click to read the original text or copy the following link to the browser to obtain the complete source code and data of the article: https://mbd.pub/o/bread/mbd-Z56Ul5hy … Read more
2025 1/22 TextIn.com TextIn —— Focused on Intelligent Text Recognition for 18 Years —— In the article “Overview of Document Digital Capture and Intelligent Processing: Image Distortion Correction Technology”, we introduced the development and representative schemes of document image correction technology. As the demand for intelligent document processing gradually upgrades, document image de-distortion technology is … Read more