Data Scientist @PennMedicine working to improve medicine by predicting the future! https://t.co/0d2xQb2cm4. Also I started DataPhilly https://t.co/rlFSYvoRA8.
Jul 12, 2022 • 4 tweets • 2 min read
How do prompt modifiers impact #dalle2 image quality? I've run ~600 prompts with random modifiers and ranked the results 1-5. Here are my findings! 🧵
Unsurprisingly, "Trending on artstation" seems to have the biggest impact. On average I've rated those 2.9 (compared to 2.0 for prompts with no mods)
* "rendered in octane": 2.4
* "vfx": 2.3
* "elegant": 2.2
* "digital art", "control the soul", "rendering", "wondrous", : 2.1
Apr 4, 2020 • 5 tweets • 3 min read
@mattyglesias As one of the authors of CHIME I'm biased. We've done some internal comparison and found that the IHME model is a serious outlier. CHIME predicts the highest numbers. Due to the simplicity of the SIR modeling approach. Over short periods all models are equivalent. 1/n@mattyglesias As @zeynep says "Don’t Believe the COVID-19 Models, That’s not what they’re for." CHIME is built for short-term (2-3 week) planning. On these short timelines, all existing models have similar results. However I would not trust the IHME model 2/n