data-centric-ai
Everything on Ground Truth tagged “data-centric-ai” — 3 items.
Weak supervision: learning useful models from imperfect labels Lesson
Weak supervision replaces expensive hand labels with noisy but scalable signals such as reports, rules and heuristics, then explicitly manages the error those signals introduce.
This model's job is to make better training data for other models News
DataClaw0 turns the grind of cleaning and labeling training data into a learned skill -- a small model that refines raw, messy multimodal streams into dense, purpose-built lessons.
Synthetic Data: When AI Makes Its Own Training Material Lesson
The internet is running out of fresh text to train on, so the most advanced models increasingly learn from data that other AI made or shaped. Here is how that works, why it helps, and how it can quietly poison a model.