Deploying Multi-Turn RL Infrastructure for Amazon Nova on Amazon SageMaker HyperPod
Article summary
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In this post, you deploy a two-phase infrastructure for multi-turn RL using Amazon Nova Forge on Amazon SageMaker HyperPod. By the end, you have an event-driven pipeline that starts training when you upload data to Amazon Simple Storage Service (Amazon S3). The training job teaches the model to play Wordle, a placeholder for your own RL task.
1Key Takeaways
- In this post, you deploy a two-phase infrastructure for multi-turn RL using Amazon Nova Forge on Amazon SageMaker HyperPod.
- By the end, you have an event-driven pipeline that starts training when you upload data to Amazon Simple Storage Service (Amazon S3).
- The training job teaches the model to play Wordle, a placeholder for your own RL task.
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3Why it matters
Cloud AI updates influence enterprise budgets, latency, and which stack teams standardize on. AWS ML Blog reports that in this post, you deploy a two-phase infrastructure for multi-turn RL using Amazon Nova Forge on Amazon SageMaker HyperPod.
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