Amazon Bedrock Launches Advanced Prompt Optimization for Up to 5 Models
AWS ML Blog · rss · 2026-07-30
Amazon Bedrock introduced Advanced Prompt Optimization, a new tool designed to solve the manual and time-consuming challenge of prompt migration and tuning in generative AI applications.
Key features include:
- Multi-model comparison: A single job can optimize prompts for up to 5 models simultaneously, providing side-by-side comparisons of quality, latency (TTFT), and estimated inference cost.
- Metric-driven feedback loop: Operating like reinforcement learning without changing model weights, it iteratively rewrites prompts based on user-defined evaluation metrics (AWS Lambda functions, LLM-as-a-Judge, or natural language steering criteria).
- Multimodal support: Accepts image formats (PNG, JPG) and PDFs via Amazon S3 URIs, making it suitable for visual question answering and document analysis.
This guided, metrics-driven workflow helps teams avoid model lock-in and eliminate regression blindness by systematically evaluating optimized prompts against ground truth.
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