Our AI model started generating nonsense after a bad data batch from a supplier in Austin

We were testing a new image generator at our office in Denver when it suddenly started making weird, broken pictures. The system had been fine for weeks, but after we added a new training batch from a third-party data supplier in Austin, everything went wrong. It turned out their batch had 15,000 mislabeled images that confused the model. We had to roll back the update and spend two full days cleaning the data ourselves. Has anyone else had a vendor data batch wreck their project timeline?

2 comments

2 Comments

susan42427d ago

Reminds me of how one bad sensor reading can throw off a whole car's computer... makes you wonder what else we're trusting without really checking.

the_sandra27d ago

Ever try to cook a big meal with one bad ingredient? Ruins the whole pot, no matter how good everything else is. Sounds like your data batch was the rotten egg.