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Phoenix is an open-source observability library built by Arize that helps you visualize data, debug models, and optimize AI performance.
Join the builders and researchers tackling AI’s most pressing challenges at our annual AI observability and evaluation event! This year’s conference will be all about Agents, and you can see what we did last year here.
When evaluating AI applications, we often look at things like tool calls, parameters, or individual model responses. While this span-level evaluation is useful, it doesn’t always capture the bigger picture…
When To Build Custom Evaluators Arize-Phoenix ships with pre-built evaluators that are tested against benchmark datasets and tuned for repeatability. They’re a fast way to stand up rigorous evaluation for…
We put out our first blog on the introducing the Arize database – ADB – in the beginning of July; this blog dives deeper into the realtime ingestion support of…
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