DiffusionGemma
📰 Simon Willison's Blog
Learn about DiffusionGemma, an experimental Gemini Diffusion model, and its potential applications
Action Steps
- Explore the Gemini Diffusion model architecture
- Run benchmarks to compare performance with other models
- Investigate potential applications of DiffusionGemma in image and text generation
- Configure a test environment to experiment with DiffusionGemma
- Analyze the results of DiffusionGemma in comparison to other models
Who Needs to Know This
AI engineers and researchers can benefit from understanding the capabilities and limitations of DiffusionGemma, while product managers can explore its potential use cases
Key Insight
💡 DiffusionGemma has the potential to accelerate text and image generation tasks
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🚀 DiffusionGemma: an experimental Gemini Diffusion model that reached 857 tokens/second! 🤖
Full Article
DiffusionGemma Last May Google briefly released an experimental Gemini Diffusion model. I tried the preview at the time and recorded it running at 857 tokens/second. It was an exciting model, but Google made no further announcements about it. That research has returned in the be
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