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Google’s experimental Gemini Diffusion model—the first diffusion-based text generation model from a major frontier lab. In this video, we break down how it works, why it’s blazing fast (800 tokens/sec!), and what it means for the future of LLMs. Is this the beginning of a new generation of language models?
LINKS:
https://deepmind.google/models/gemini-diffusion/
https://www.inceptionlabs.ai/
https://www.leewayhertz.com/how-to-train-a-diffusion-model/
https://www.seangoedecke.com/limitations-of-text-diffusion-models/?utm_source=chatgpt.com
https://x.com/karpathy/status/1894923254864978091?lang=en
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00:00 Introduction to Gemini Diffusion
00:23 Real-Time Speed Demonstration
00:39 Comparison with Other Models
01:15 Google’s Experimental Release
02:20 Understanding Diffusion LLMs
03:18 Diffusion vs. Auto-Regressive Models
05:20 Examples and Applications
06:33 Future Possibilities and Limitations
07:23 Conclusion and Final Thoughts Read More Prompt Engineering
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