Reinforcement fine-tuning on Amazon Bedrock with OpenAI-Compatible APIs: a technical walkthrough

1. 1Set up authentication for Amazon Bedrock with OpenAI-compatible APIs
2. 2Deploy a Lambda-based reward function for reinforcement fine-tuning
3. 3Kick off a training job for the fine-tuned model
4. 4Run on-demand inference on the fine-tuned model

Machine learning engineers and data scientists on a team can benefit from this article to learn how to fine-tune models using reinforcement learning on Amazon Bedrock, and apply this knowledge to improve their model's performance

💡 Reinforcement fine-tuning on Amazon Bedrock with OpenAI-compatible APIs can be achieved through a workflow involving authentication setup, reward function deployment, training job kickoff, and on-demand inference

💡 Fine-tune your models with reinforcement learning on Amazon Bedrock using OpenAI-compatible APIs