Rhesis AI | SDK: Gen AI Test Bench for your Team

OFFERING

Test your Gen AI application. Then test again.

Testing Gen AI applications is hard. The multitude of scenarios that need to be covered can be overwhelming. Often a considerable amount of time is spent creating a test set, a “golden set”, which teams optimize, and iterate over time. Making sure developer teams have access to the latest tests quickly becomes a nightmare. Enter Rhesis Test Bench: a solution that provides you a strong test baseline to start, and the right set of tools to iterate.

Large test set directory

Test sets for all key dimensions, curated and industry-specific, covering both common scenarios and use cases across features.

Continuously improved

In order to uncover edge cases, the best-performing tests serve as the basis for the generation of further tests, adapting to the application’s behavior.

Made for Teams

The Rhesis Test Bench is the platform that brings subject-matter experts and AI engineers under one single roof, making collaboration among teams easier.

Iteration made easy

As Gen AI products go through several iterations, our test bench helps to keep track not only of the different test sets, but also results and application configurations.

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Get access to the Rhesis AI SDK.

Request your invite to the very best Gen AI test sets and access to the Rhesis AI test bench.

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HOW IT WORKS

How can the Rhesis AI test bench help you?

Our comprehensive test bench equips you with the right tools to confidently validate your Gen AI applications. Whether it's laying a strong foundation or enabling smooth team collaboration, we ensure every aspect of your validation process is covered.

Defining a Test Baseline

Once the baseline is defined, the test sets in the Rhesis Test Bench are readily available to be consumed. Simply configure and install the SDK, and apply your pipeline to the tests. The datasets can be consumed as CSV, Pandas, Arrow, among other formats.

Integrating Test Bench SDK

Logging Pipeline Outputs

When running the pipeline, the SDK can also be used to capture the output produced by your pipeline, liking system parameters (defined by you), a target dataset, and associated outputs and metrics as desired.

Closing the Loop

The results flow back to the Rhesis Bench, where the results can be inspected by subject-matter experts. Feedback is provided to the team. New tests are created and/or generated, and the cycle re-initiates.

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