基于 Amazon Bedrock 的强化微调与 OpenAI 兼容 API 的技术流程

This technical walkthrough details the end-to-end workflow of using Reinforcement Fine-Tuning (RFT) on Amazon Bedrock with OpenAI-compatible APIs. It begins with setting up authentication for secure access. Next, a Lambda-based reward function is deployed to provide feedback during the training process. After that, a training job is initiated to optimize model performance. Finally, on-demand inference is conducted to validate the effectiveness of the fine-tuned model in real-world applications. The entire process illustrates how to efficiently leverage the AWS platform for AI model reinforcement learning and optimization.