poloclub / transformer-explainer
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
Why this job: works in the areas we cover, but does not say which job it does
What it does
Transformer Explainer is an interactive visualization tool designed to help anyone learn how Transformer-based models like GPT work. It runs a live GPT-2 model right in your browser, allowing you to experiment with your own text and observe in real time how internal components and operations of the Transformer work together to predict the next tokens. Try Transformer Explainer at http://poloclub.github.io/transformer-explainer and watch a demo video on YouTube https://youtu.be/TFUc41G2ikY.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 9,135
- +39 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.0.1
- Released 2 years ago
- Built with
- JavaScript
- 95% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 72% closed
- 9 still open
- Pull requests
- 25 merged
- 14 waiting
- Releases
- 1
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- JavaScript 95%
- Svelte 4%
- TypeScript 1%
- Python <1%
Topics
- deep-learning
- generative-ai
- gpt
- langauge-model
- llm
- visualization
Project record
- JobOther AI tools
- StatusListed
- Commits137
- Forks1,072
- Watching76
- Stars in 28 days+167
- CreatedMay 16, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026