Generative modeling with sparse transformers
What changed
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.
Why it matters
A concrete addition to Practical AI: Tools, Models & Frameworks: it changes what's available to builders today rather than being general commentary.
How it compares
Related prior coverage to compare against:
- MuseNet
- Introducing ChatGPT Images 2.0
- Introducing deep research
Sources
- Generative modeling with sparse transformers (openai-blog)primary