Imagen while diffusion models are kept for the super resolution chain! More info on that [here](https://www.assemblyai.com/blog/an-introduction-to-poisson-flow-generative-models/#areas-for-improvement) or more info on [Imagen](https://www.assemblyai.com/blog/how-imagen-actually-works/) here (or how to build your own Imagen ... here](https://www.assemblyai.com/blog/minimagen-build-your-own-imagen-text-to-image-model/)

deep dive section](https://www.assemblyai.com/blog/an-introduction-to-poisson-flow-generative-models/#poisson-flow-generative-modelsa-deep-dive) gives an overview of Green's functions! Don't be intimidated by the verbiage, the central ideas are not too complicated :) If you have taken a multivariable calculus class

www.assemblyai.com/blog/how-to-run-openais-whisper-speech-recognition-model/](https://www.assemblyai.com/blog/how-to-run-openais-whisper-speech-recognition-model/) ​ Here. Search for same link on reddit r/MachineLearning you fill find the original post also

jeremyhadfield.com/why-llms-will-not-understand-language/](https://jeremyhadfield.com/why-llms-will-not-understand-language/) [https://www.assemblyai.com/blog/how-dall-e-2-actually-works/](https://www.assemblyai.com/blog/how-dall-e-2-actually-works/)

find the accuracy is smooth with scale. Emergent abilities would have an exponential scale. [https://www.assemblyai.com/blog/emergent-abilities-of-large-language-models/](https://www.assemblyai.com/blog/emergent-abilities-of-large-language-models/) Since I can't post images here, check the image with the text "Aggregate performance across benchmarks

More details on these findings in this blog post https://www.assemblyai.com/blog/ai-trends-graph-neural-networks/

/abs/2205.14217](https://arxiv.org/abs/2205.14217) [https://github.com/xiangli1999/diffusion-lm](https://github.com/xiangli1999/diffusion-lm) There's also a new method that's even faster than diffusion. [https://www.assemblyai.com/blog/an-introduction-to-poisson-flow-generative-models/](https://www.assemblyai.com/blog/an-introduction-to-poisson-flow-generative-models/) I hope you have good luck on your text generating endeavors

Diffusion models, I'd point you to the introduction in this excellent blog post: https://www.assemblyai.com/blog/diffusion-models-for-machine-learning-introduction/