What Is the Transformer Model?

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Welcome to the special winter vacation column “High-Tech Lessons for Kids” launched by Science Popularization China!

Artificial intelligence, as one of the most cutting-edge technologies today, is changing our lives at an astonishing pace. From smart voice assistants to self-driving cars, from AI painting to machine learning, it opens up a future full of infinite possibilities. This column will explain the principles, applications, and profound impacts of artificial intelligence on society in an easy-to-understand way, using videos and text to teach kids.

Let’s embark on this AI journey together!

First, let’s watch the video:
The following is the text version:
(Reading takes about 1 minute)

Transformer

The Transformer model is a deep learning model that introduces the “attention mechanism”, and is applied in various models including GPT and BERT.
In simple terms, the Transformer model can mimic the way humans read information and analyze content.
When we read, we quickly skim over unimportant information and pause to think about important information. The attention mechanism in Transformers allows the model to focus on key information, thereby better understanding the text we input.
Additionally, Transformers can process information in parallel. If there is a long passage, it can be divided into multiple parts for parallel reading, rather than reading sequentially from start to finish, which accelerates model training.
Transformers have been very successful in natural language processing. With the help of the Transformer model, chat applications like ChatGPT can better understand what we say and generate corresponding responses.

Planning and Production

This article is a product of the Science Popularization China – Creation and Cultivation Program.

Produced by | Science Popularization Department of the China Association for Science and Technology

Supervised by | China Science and Technology Publishing House Co., Ltd., Beijing Zhongke Xinghe Cultural Media Co., Ltd.

Author | Beijing Yunyuji Cultural Communication Co., Ltd.

Reviewed by | Qin Zengchang, Associate Professor, School of Automation Science and Electrical Engineering, Beihang University

What Is the Transformer Model?

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