Pengfei Chen

You can now reliably pick the *most* aesthetically pleasing image from a subtly different series, thanks to a new dataset and framework designed specifically for fine-grained image aesthetic assessment.

LLMs and historical data can be combined to create a reusable knowledge base that slashes the cost of root cause analysis in complex cloud systems, improving accuracy by up to 48%.