# Large Language Models & Data Privacy ### Choose Your AI Model When you use HyperSkill, you can choose between two industry-leading large language models (LLMs) to power AI Chat and Agents: Azure's GPT-4 and Google's Gemini Pro. Each model boasts its own strengths, and the optimal choice depends on your specific needs. We encourage you to explore the pros and cons of each to discover the perfect fit for your project. Both AI Chat and Agents allow you to choose which model you want to use. Authors are free to mix usage of the models. ### Data Privacy (Azure GPT-4) For more information on Microsoft Azure's OpenAI Data Policies, please visit [here](https://learn.microsoft.com/en-us/legal/cognitive-services/openai/data-privacy). ### Data Privacy (Google Gemini FREE) For information on Google Gemini's Data Policies, please visit [here](https://ai.google.dev/terms#content-license). ### Data Privacy for Enterprise For enterprise and privacy needs, contact to learn about HyperSkill's data security solutions. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.siminsights.com/ai/large-language-models-and-data-privacy.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.