# AI

## **Overview**

HyperSkill offers a variety of AI features to make your VR/AR/Web/Desktop learning experiences more interactive and engaging. This section will explain how each feature works and how you can use it effectively.

#### 1. Natural Conversations

* **Speech-to-Text Transcription (ASR):**
  * Automatically capture and record spoken dialogue within your simulations
  * Analyze trainee communication during role-playing or presentations
* **Text-to-Speech Generation (TTS):**
  * Create realistic narration for your virtual persons
  * Virtual persons can guide learners, deliver instructions, or react to choices
* **Interactive Learning with Natural Language Processing (NLP):**
  * Design simulations that respond to specific user prompts
  * Learners can ask questions to virtual characters, triggering pre-recorded responses or branching dialogues
  * Example: A virtual factory worker can answer specific questions about equipment based on learner inquiries

#### 3. Advanced Roleplaying with GPT-4/Gemini Pro (AI Chat)

* **Lifelike Roleplaying Partners:**
  * Create AI-powered characters that engage in open-ended conversations with learners using GPT-4/Gemini Pro
  * Characters can answer questions, provide feedback on performance, or react realistically to various situations and speech

#### 4. In-depth Analysis with GPT-4/Gemini Pro (Agents)

* **Learner Behavior Analysis:**
  * Analyze learner interactions with AI characters using GPT-4/Gemini Pro's analysis capabilities.
  * Identify areas for improvement and personalize learning paths based on performance data.

By incorporating these AI features, you can create dynamic and engaging learning experiences that cater to different learning styles. These features are designed to be user-friendly and integrate seamlessly within your HyperSkill authoring workflow.


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# 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.md?ask=<question>
```

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.
