Curate high-quality synthetic data with flexibility and precision using the Collinear AI Platform. Learn about amplification, supported models, and quality criteria.
The Collinear AI Platform makes it effortless to create synthetic datasets tailored to your exact needs. This guide walks you through setting up a Data Curation Run β from selecting generator models to defining quality criteria.
Synthetic curation is the process of automatically generating diverse, high-quality examples to power model training, evaluation, or fine-tuning. With Collinear AI, you can amplify your dataset while maintaining control over quality, diversity, and relevance.Key features:
Scale fast: Generate hundreds to thousands of samples with minimal effort.
Maintain precision: Define exactly what quality looks like for your use case.
Stay flexible: Customize generation settings and quality filters.