From the source
Cartesia announced a research collaboration on hierarchical networks (H-Nets), a new architecture that learns to segment and compress raw data into meaningful concepts.
- H-Nets scale better with data than Transformers with BPE tokenization, are more robust to input perturbations, and can be stacked for deeper hierarchies.
- The company released checkpoints for H-Net models on HuggingFace.






