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The latest updates, perspectives and stories from DatologyAI
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Research Updates
Datology Curation Studio Improves Even the Best Open Data
Research Updates
Brevity is the Soul of Inference Efficiency: Inducing Concision in VLMs via Data Curation
Research Updates
20/20 Vision Language Models: A Prescription for Better VLMs through Data Curation Alone
Research Updates
ÜberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset
Research Updates
DatBench: Discriminative, Faithful, and Efficient Vision-Language Model Evaluations
Research Updates
Introducing Luxical Embeddings
Research Updates
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining
Research Updates
CLIP Gets a Data Upgrade: Outperforming SoTA with Improved Data Curation Only
Research Updates
DatologyAI’s Image-Text Data Curation: Train Better, Faster, Smaller
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