Scaling Laws for Hypernetwork-Based Knowledge Injection
New scaling laws for train-time knowledge injection: hypernetworks beat LoRA and full fine-tuning on out-of-distribution generalization, and the gap grows with target model size.
Specialized models and agents that execute real processes end-to-end, and compound in capability as your team uses them.
Own your intelligence. Don't rent it. NAVI runs your business processes end to end on small models you control, and every engagement makes them yours.
Meet NAVINew scaling laws for train-time knowledge injection: hypernetworks beat LoRA and full fine-tuning on out-of-distribution generalization, and the gap grows with target model size.
Nace.AI raises $21.5M to build specialized intelligence for complex enterprise workflows.
Adapting model behavior at inference time without retraining, large context windows, or touching the primary model's weights.
Deploy in your VPC, at the edge, or on-premises. Keep your models, data, and infrastructure inside your perimeter while retaining full control.
Run on Nace-managed infrastructure with deployment, scaling, and maintenance handled for you.
Keep sensitive workloads inside your environment while using managed infrastructure where additional flexibility and scale are needed.