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@UP8@mastodon.social
2025-10-18 01:00:32

💔 Are Foundation Models Ready for Industrial Defect Recognition? A Reality Check on Real-World Data
#computing

Are Foundation Models Ready for Industrial Defect Recognition? A Reality Check on Real-World Data
Foundation Models (FMs) have shown impressive performance on various text and image processing tasks. They can generalize across domains and datasets in a zero-shot setting. This could make them suitable for automated quality inspection during series manufacturing, where various types of images are being evaluated for many different products. Replacing tedious labeling tasks with a simple text prompt to describe anomalies and utilizing the same models across many products would save significant…

@laimis@mstdn.social
2025-10-06 21:27:24

Solid list:
scotthyoung.com/blog/2025/10/0
Don't run through LLM, it's already a very concise list. Take time and look through it.

102 Lessons from the 102 Books I Read This Year - Scott H Young
As part of my Foundations project, I read 102 books over the past twelve-and-a-half months. That includes seven textbooks and dozens of academic books, in addition to the popular science and self-help books I selected for each theme. Those interested in brief reviews of each book can check out my reading lists for each topic: […]