# August 2023

> August 2023 - Read about DataRobot's new preview and generally available features released in
> August, 2023.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-05-06T18:17:09.996761+00:00` (UTC).

## Primary page

- [August 2023](https://docs.datarobot.com/en/docs/release/cloud-history/2023-announce/august2023-announce.html): Full documentation for this topic (HTML).

## Sections on this page

- [August release](https://docs.datarobot.com/en/docs/release/cloud-history/2023-announce/august2023-announce.html#august-release): In-page section heading.
- [Modeling enhancements](https://docs.datarobot.com/en/docs/release/cloud-history/2023-announce/august2023-announce.html#modeling-enhancements): In-page section heading.
- [GA](https://docs.datarobot.com/en/docs/release/cloud-history/2023-announce/august2023-announce.html#ga): In-page section heading.
- [Blueprint repository in Workbench now GA](https://docs.datarobot.com/en/docs/release/cloud-history/2023-announce/august2023-announce.html#blueprint-repository-in-workbench-now-ga): In-page section heading.
- [Blueprint JSON endpoints allow mapping to open source](https://docs.datarobot.com/en/docs/release/cloud-history/2023-announce/august2023-announce.html#blueprint-json-endpoints-allow-mapping-to-open-source): In-page section heading.
- [More granular model logging info now available in DataRobot Classic](https://docs.datarobot.com/en/docs/release/cloud-history/2023-announce/august2023-announce.html#more-granular-model-logging-info-now-available-in-datarobot-classic): In-page section heading.

## Related documentation

- [AI Platform releases](https://docs.datarobot.com/en/docs/release/index.html): Linked from this page.
- [Managed SaaS releases](https://docs.datarobot.com/en/docs/release/cloud-history/index.html): Linked from this page.
- [2023 AI Platform releases](https://docs.datarobot.com/en/docs/release/cloud-history/2023-announce/index.html): Linked from this page.
- [Self-Managed AI Platform release notes](https://docs.datarobot.com/en/docs/release/archive-release-notes/index.html): Linked from this page.
- [blueprint repository](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/manage-experiments/experiment-add.html#blueprint-repository): Linked from this page.
- [Blueprint visualization](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/experiment-insights/model-blueprint.html): Linked from this page.
- [Model Info](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/describe/model-info-classic.html): Linked from this page.
- [Log](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/describe/log-classic.html): Linked from this page.

## Documentation content

August 22, 2023

With the August 2023 deployment, DataRobot's AI Platform delivered the new GA and preview features listed below. From the release center you can also access:

- Monthly deployment announcement history
- Self-Managed AI Platform release notes

### August release

The following table lists each new feature:

**Features grouped by capability**

| Name | GA | Preview |
| --- | --- | --- |
| Modeling |  |  |
| Blueprint repository in Workbench now GA | ✔ |  |
| Blueprint JSON endpoints allow mapping to open source | ✔ |  |
| More granular model logging info now available in DataRobot Classic | ✔ |  |

## Modeling enhancements

### GA

#### Blueprint repository in Workbench now GA

With this deployment, the [blueprint repository](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/manage-experiments/experiment-add.html#blueprint-repository) —a library of modeling blueprints—is now generally available in Workbench for prediction and time-aware projects. After running Quick Autopilot, you can visit the repository to select and run blueprints that DataRobot did not run by default. They will be added to the Leaderboard and your experiment.

Additionally, the [Blueprint visualization](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/experiment-insights/model-blueprint.html) is GA in Workbench, providing a graphical representation of the preprocessing steps (tasks), modeling algorithms, and post-processing steps that go into building a model.

#### Blueprint JSON endpoints allow mapping to open source

With this deployment, model blueprint JSON representation can be retrieved through both the UI and through API and client packages for improved transparency. Now you can access the JSON for DataRobot tasks and map the components to open-source code, creating an open-source equivalent to the DataRobot blueprint. For code-first users, the information can be quickly retrieved programmatically and incorporated into notebooks. Or, it can be copied from the Describe > Blueprint JSON tab in the UI. The code then be edited to suit your pipeline needs.

#### More granular model logging info now available in DataRobot Classic

With this deployment, additional detail has been added to the [Model Info](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/describe/model-info-classic.html) and [Log](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/describe/log-classic.html) tabs, both available under Describe in DataRobot Classic. The Log tab, which displays the status of successful and errored operations, now displays start and end times for each task within a larger job.Model Info has added Max RAM and Cache Time Savings —a measure of how much time was saved due to reusing blueprint vertices.

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