Transformer Explainer: Interactive Learning of Text-Generative Models
Transformers have revolutionized machine learning, yet their inner workings
remain opaque to many. We present Transformer Explainer, an interactive
visualization tool designed for non-experts to learn about Transformers through
the GPT-2 model. Our tool helps users understand complex Transformer concepts
by integrating a model overview and enabling smooth transitions across
abstraction levels of mathematical operations and model structures. It runs a
live GPT-2 instance locally in the user's browser, empowering users to
experiment with their own input and observe in real-time how the internal
components and parameters of the Transformer work together to predict the next
tokens. Our tool requires no installation or special hardware, broadening the
public's education access to modern generative AI techniques. Our open-sourced
tool is available at https://poloclub.github.io/transformer-explainer/. A video
demo is available at https://youtu.be/ECR4oAwocjs.
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Aeree Cho
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Grace C. Kim
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Alexander Karpekov
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Alec Helbling
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Alec Helbling
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Zijie J. Wang
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Seongmin Lee
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Seongmin Lee
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Benjamin Hoover
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Ben Hoover
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Duen Horng Chau
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Duen Horng Chau
user
polochau
Transformer Explainer: Interactive Learning of Text-Generative Models
Transformers have revolutionized machine learning, yet their inner workings
remain opaque to many. We present Transformer Explainer, an interactive
visualization tool designed for non-experts to learn about Transformers through
the GPT-2 model. Our tool helps users understand complex Transformer concepts
by integrating a model overview and enabling smooth transitions across
abstraction levels of mathematical operations and model structures. It runs a
live GPT-2 instance locally in the user's browser, empowering users to
experiment with their own input and observe in real-time how the internal
components and parameters of the Transformer work together to predict the next
tokens. Our tool requires no installation or special hardware, broadening the
public's education access to modern generative AI techniques. Our open-sourced
tool is available at https://poloclub.github.io/transformer-explainer/. A video
demo is available at https://youtu.be/ECR4oAwocjs.
Transformer Explainer is an interactive visualization tool that allows non-experts to understand the inner workings of the GPT-2 model through real-time experimentation and visualization in a web browser.
Transformers GPT-2 interactive visualization model overview mathematical operations model structures live instance next tokens real-time prediction