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  • What's New
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  1. History
  2. 2024

01.04.2024

New Releases, Enhancements, + Changes

Last updated 1 year ago

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What's New

Granularity Selector

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.

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.

Google Gemini Support

Phoenix Demo Page

Enhancements

Generative LLM Overview Refresh

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

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.

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.

The latest ebooks, self-guided course modules, and technical posts on topics like LLM evaluation and beyond:

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

Check out LLM Tracing via Phoenix's UI via . For more info, .

New Educational Content

: everything you need to know

: Benchmarking, Explanations

& Evaluating Prompts

New Paper Readings and Author Interviews

with AI: A Study in Zero-shot, Single-domain, and Cross-domain Settings

: A Deep Dive Into the Latest Models

Prompt Playground
https://phoenix-demo.arize.com/tracing
head over to Phoenix docs on tracing your LLM application
LLM evaluations
OpenAI Function Calling
Exec Snapshot: LLM Observability
Prompt Templates
Text To SQL
Mistral AI