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11
4 Qualifying Exam/2 Writing/3. QE Research Approach.md
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@ -24,4 +24,13 @@ Something to justify, why diffusion model as opposed to other generative AI
1. Generating unstructured perturbations is pretty hard
2. They need to be 'random'
3. diffusion model is good at creating novel examples (cite!)
4.
4. we can use diffusion models to solve this problem of generating examples
5. But how does a diffusion model work?
6. Diffusion model uses two processes
7. a forward process that introduces noise into an 'input'
8. this forward process does this using several small steps of noise
9. This noise is a gaussian noise
10. over time this forward process degrades the input until it is unrecognizable
11. This takes several several iterations, but is dependent on the amount of noise in each step
12.
13. A reverse process that tries to remove the noise