Amazon Redshift

Headlines · 1

1. 3d
   AWS details a nine-stage AI agent evaluation framework on Bedrock AgentCore

   An AWS Machine Learning Blog post describes how AWS's Sales, Marketing, and Global Services (SMGS) Operations team built a continuous quality-evaluation framework for a production multi-agent system on Amazon Bedrock AgentCore Evaluations. The framework spans nine lifecycle stages—defining quality, experimentation, CI merge checks, CD production gates, canary scoring, adversarial testing, live drift detection, a real-time pulse, and an automated feedback loop—and runs at three levels at once: tools, individual sub-agents, and multi-agent orchestration, each with its own golden set and promotion criteria. AWS reports that its internal sales agents produced fluent but wrong answers such as labeling $410.08 of three-month revenue as "$410.08 Million" and presenting estimates as sourced facts while conventional monitoring stayed green; in one pre-production test, mismatched data, tool, and prompt changes dropped the pass rate from 78 percent to 38 percent.

   AWS Machine Learning Blog · 🔥 0

Experience and discussion from the community

Share my Amazon Redshift experienceAsk about Amazon Redshift