# Other GenAI Features

## Overview

In addition to Nexthink Assist and Nexthink Insights Nexthink leverages GenAI in other parts of Infinity to enhance content development. The following feature is based on GenAI:

* [AI Localization for Adopt Guides](https://docs.nexthink.com/platform/user-guide/adopt/guide-creation-and-management-from-nexthink-applications/creating-guides#localizing-content-with-ai)

The LLMs used are provided by Amazon Bedrock within the same AWS account and geographical area (continent) where customer data is typically stored and processed. OpenAI is *not* used for the features listed on this page.

## Frequently asked questions

<details>

<summary>Do the LLMs process Personal Data or any type of sensitive information?</summary>

Large language models (LLMs) are not meant to process personal data or sensitive information.

</details>

<details>

<summary>Are there third parties involved?</summary>

For the feature listed on this page, Nexthink uses the large language models (LLMs) provided by Amazon Bedrock. OpenAI is not involved.

</details>

<details>

<summary>Where is data processed by the LLMs?</summary>

The large language models (LLMs) provided by Amazon Bedrock are used within the same AWS account and geographical area (continent) where Nexthink's customer data is typically stored and processed.

</details>

<details>

<summary>Can LLMs leverage my organization data to train their models?</summary>

No, the large language models (LLMs) used across Nexthink Infinity Platform cannot and do not use Customer Data via their APIs to train or improve their models.&#x20;

</details>

<details>

<summary>Are large language models (LLMs) responding to end-user prompts, or are they powered by predefined prompts from Nexthink?</summary>

The large language models (LLMs) are triggered using predefined logic and prompts built into Nexthink’s backend services running in AWS. End-users cannot view or modify these prompts.

Additionally, the LLM **does not have access to any Nexthink data**. This means that even if a user attempts to query sensitive information, the LLM will not be able to access or infer anything from the platform.

</details>


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