Amazon Nova Forge lets you build custom AI rewards
Amazon Nova Forge's custom reward functions unlock multi-turn RL training for Nova models.
Amazon Nova Forge lets you design custom reward functions for multi-turn reinforcement learning with Nova models. With Bring Your Own Orchestration (BYOO), Nova Forge handles rollouts, message passing, and conversation state while you focus on defining what a good outcome looks like. A serverless multi-turn RL option is also generally available for teams that prefer not to manage that environment. Instead of relying on curated examples like supervised fine-tuning, reinforcement fine-tuning learns from evaluation signals on the model's own outputs, optimizing cumulative reward across entire agent trajectories. According to the article, RL improves out-of-distribution generalization across all task variants while supervised fine-tuning degrades it.
- Amazon Nova Forge now supports custom reward functions for multi-turn RL with Nova models, enabling iterative feedback without curated examples.
- The Bring Your Own Orchestration (BYOO) feature handles rollouts and state management, while a serverless multi-turn RL option is generally available.
- Reinforcement fine-tuning (RFT) with GRPO improves OOD generalization by up to 40% compared to supervised fine-tuning (SFT) in real-world tests.
Why It Matters
Enables precise control over AI behavior in multi-step tasks, unlocking advanced customization for enterprise use cases.