Tags: #data-generation

A multi-agent framework for studying emergent behaviors and scaling laws in AI systems through simulation and interaction.

Distilabel is a framework for generating synthetic data and AI feedback, enabling engineers to build fast, reliable, and scalable AI pipelines based on verified research.

A flexible framework by NVIDIA NeMo for generating high-quality synthetic datasets with diverse distributions, meaningful correlations, and robust validation.