Papers by J Alammar

1 papers
Ecco: An Open Source Library for the Explainability of Transformer Language Models (2021.acl-demo)

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Challenge: Existing models that use the Transformer architecture are lag behind our ability to scale them.
Approach: They propose an open-source library for the explainability of Transformer-based NLP models that captures, analyzes, visualizes, and interactively explores the inner mechanics of these models.
Outcome: The proposed tools capture, analyze, visualize, and explore the inner workings of Transformer-based language models.

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