Generative modeling with sparse transformers

Research #llm 🏛️ Official|Analyzed: Jan 3, 2026 15:45•

Published: Apr 23, 2019 07:00

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1 min read

Analysis

This article announces a new deep neural network, the Sparse Transformer, developed by OpenAI. The key innovation is an improvement to the attention mechanism, allowing it to process significantly longer sequences (30x) than previous models. This suggests advancements in handling complex patterns in data like text, images, and sound.

Key Takeaways

•OpenAI developed the Sparse Transformer, a new deep neural network.
•The Sparse Transformer improves the attention mechanism.
•It can process sequences 30x longer than previous models.
•Applicable to text, images, and sound.

Reference / Citation

View Original

"We’ve developed the Sparse Transformer, a deep neural network which sets new records at predicting what comes next in a sequence—whether text, images, or sound. It uses an algorithmic improvement of the attention mechanism to extract patterns from sequences 30x longer than possible previously."

OpenAI NewsApr 23, 2019 07:00

* Cited for critical analysis under Article 32.

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