Amazon's AI development tools now make it easier to find and fix errors
Why it matters
Teams building AI applications on SageMaker get easier debugging of agent behaviour through customisable trace views, with no new tooling to adopt.
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Are our engineers using SageMaker's new trace explorer to debug AI assistants, or still digging through logs by hand?
What happened
Amazon SageMaker AI's MLflow Apps now run MLflow 3.16, with a redesigned trace explorer as the default and faster metric charts for experiments with long histories. New MLflow Apps start on 3.16 by default.
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Read the original at AWS What's New (AI)
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