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Documentation Index

Fetch the complete documentation index at: https://arize-ax.mintlify.dev/docs/llms.txt

Use this file to discover all available pages before exploring further.

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What’s New

January 18, 2024

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Native Multi-Class Classification Support

We now support multi-class classification models natively, up to 100 classes. Learn more here.

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Granularity Selector

January 4, 2024 Analyze performance by hour, day, week or month using the new granularity selector. Options default to the optimal granularity for a given time range. The granularity selector is available on the monitors page, all the relevant model pages, and the dashboards page.

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Slice Performance Over Time for Tracing

Users can now view the performance of individual feature slices over time. In the performance tracing tab, select a feature and click “Slice Performance Over Time”. This will plot the performance of the top five slices of that feature. Correlate performance issues with individual slices, further debug your features, or better understand trends over time.

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Google Gemini Support

Users can now utilize Google’s new Gemini model via the Vertex AI integration in Arize’s Prompt Playground.

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Phoenix Demo Page

Check out LLM Tracing via Phoenix’s UI via https://phoenix-demo.arize.com/tracing. For more info, head over to Phoenix docs on tracing your LLM application.

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Enhancements

January 18, 2024

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Dashboard -> Performance Tracing Connectivity

Users can now navigate from a dashboard widget to Performance Tracing for debugging workflows by clicking a point and selecting an option.

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Model Overview Refresh

The non-generative model overview page has undergone a couple of changes to increase ease of use:
  • Quick Actions cards linking to various in app workflows
  • Model Schema is now included on the left side navigation

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Generative LLM Overview Refresh

January 4, 2024 The generative LLM model overview page has undergone a couple of changes to increase ease of use:
  • Quick Actions cards linking to various in app workflows
  • Model Schema is now included on the left side navigation

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Python SDK v7.9.0

This release brings to life a new model type: multi-class. Users can now log not only the classes by their classification models, but also the non-selected ones, giving a detailed view of how the model operates. Currently, only the record-at-a-time logging option is supported, but stay tuned for the release of pandas batch ingestion.

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Python SDK v7.8.0

This release enables latent actuals for generative LLM models. In addition, users will now be alerted when their data files are too large.

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📚 New Content