> ## Documentation Index
> Fetch the complete documentation index at: https://docs.omnifact.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Terminology Glossary

> A simple guide to common AI terms you might encounter while reading our guides

<Note>
  This glossary explains AI terminology in simple, everyday language, organized by complexity level. We've focused on terms you're most likely to encounter while reading our guides.
</Note>

## Essential Terms

*Essential terms you'll encounter in our guides*

<AccordionGroup>
  <Accordion title="AI Assistant">
    A specialized AI system designed to help with tasks through natural conversation, such as when you chat with Omnifact to get help with writing an email or analyzing a document.
  </Accordion>

  <Accordion title="Prompt">
    The question, instruction, or request you give to the AI—like when you type "Please help me summarize this report."
  </Accordion>

  <Accordion title="Response">
    The AI's answer or output based on your prompt, such as the summary, analysis, or content the AI creates for you.
  </Accordion>

  <Accordion title="Context">
    Background information that helps AI understand your request better, for example, when you explain "This is for a team meeting next week" or attach relevant documents.
  </Accordion>
</AccordionGroup>

## Omnifact-Specific Terms

*Terms unique to the Omnifact platform*

<AccordionGroup>
  <Accordion title="Privacy Filter">
    Omnifact's automatic system that protects sensitive information by detecting and masking data like personal information, financial details, or company secrets. It also restricts images from being sent to non-EU hosted AI models for compliance. For example, if you paste an email containing employee names, they're automatically masked before processing. [Learn more →](/en/platform/core-features/privacy-security/how-privacy-filter-works)
  </Accordion>

  <Accordion title="Space">
    A focused environment in Omnifact for specific topics or projects, including a dedicated knowledge, customized AI behavior, and team access settings. For example, you might create a "Product Launch" Space with all relevant documents and team access. [Learn more →](/en/platform/core-features/spaces/introduction)
  </Accordion>

  <Accordion title="Uploaded Files">
    A collection of documents within a Space that the AI can reference, such as company documents, project materials, or team resources. The AI uses these to answer questions, like when it references your uploaded product documentation. [Learn more →](/en/platform/core-features/spaces/uploaded-files-retrieval)
  </Accordion>

  <Accordion title="Chat Instructions">
    Guidelines that tell the AI how to behave in a specific Space, controlling things like response style, specialized knowledge, and behavior patterns. For example, you might set instructions for the AI to use technical language in an engineering Space.
  </Accordion>
</AccordionGroup>

## Common AI Concepts

*Basic AI terms*

<AccordionGroup>
  <Accordion title="Artificial Intelligence (AI)">
    Technology that enables computers to perform tasks that typically require human intelligence, such as understanding text, answering questions, analyzing information, and generating content. For example, Omnifact understands your request and provides a helpful response.
  </Accordion>

  <Accordion title="Query">
    Another word for your question or request to the AI. For example, asking "What are the sales figures for Q1?" is a query.
  </Accordion>

  <Accordion title="Agent">
    A task-focused automation within Omnifact that can perform specific actions, like sending data to another app or executing a workflow.
  </Accordion>

  <Accordion title="Training Data">
    The collection of text, documents, and examples that the AI learns from in order to generate its responses.
  </Accordion>

  <Accordion title="Inference">
    The process where the AI generates an answer based on what it has learned without "retraining" each time you ask a question.
  </Accordion>

  <Accordion title="Fine-Tuning">
    Teaching an AI to perform better on specific tasks by training it further on specialized data, like company-specific documents.
  </Accordion>

  <Accordion title="Retrieval-Augmented Generation (RAG)">
    A method where AI combines searching external documents (retrieval) with generating new answers, improving accuracy and relevance.
  </Accordion>

  <Accordion title="Embedding">
    A mathematical representation of text that captures its meaning, allowing AI to search and relate concepts even if different words are used.
  </Accordion>

  <Accordion title="Latency">
    The small delay between when you send a prompt and when the AI responds. Lower latency means faster replies.
  </Accordion>

  <Accordion title="Overfitting">
    When an AI model learns too much from training data, including noise and errors, making it less flexible or accurate with new data.
  </Accordion>

  <Accordion title="Machine Learning">
    How AI models are built by training on large datasets so they recognize patterns in language and data. This training happens before deployment. Omnifact assistants do not retrain or permanently learn from your individual chats.
  </Accordion>

  <Accordion title="Natural Language">
    Everyday human language—like English, Spanish, or Mandarin—that people use to communicate. When you type or speak to Omnifact, you're using natural language, as opposed to computer code or technical commands. AI systems are designed to understand and generate natural language so you can interact with them just like you would with another person.
  </Accordion>

  <Accordion title="Natural Language Processing (NLP)">
    The ability of AI to understand and generate human language, enabling it to process text, understand questions, generate responses, and maintain conversations. For example, you can ask questions in plain English and get coherent responses.
  </Accordion>
</AccordionGroup>

## Advanced Concepts

*Deeper technical terms you might encounter occasionally*

<AccordionGroup>
  <Accordion title="Large Language Model (LLM)">
    The type of AI system that powers Omnifact and similar assistants. These models are trained on vast amounts of text, understand and generate language, and process information contextually—enabling Omnifact to understand and respond to your requests.
  </Accordion>

  <Accordion title="Pattern Matching">
    How AI identifies similarities and connections in information to find relevant details, understand context, and generate responses. For example, AI recognizes that questions asked in different ways are asking for the same information.
  </Accordion>

  <Accordion title="Hallucination">
    When AI generates incorrect information that sounds plausible. This can produce misleading information, so it needs human verification and fact-checking. For example, AI might confidently state something that sounds reasonable but isn't factually correct.
  </Accordion>
</AccordionGroup>

## Technical Terms Made Simple

*Complex terms explained simply*

<AccordionGroup>
  <Accordion title="Algorithm">
    A set of rules the AI follows to process information—think of it as a recipe the AI uses to complete tasks, like the steps it follows to understand your question and create a response.
  </Accordion>

  <Accordion title="Neural Network">
    A complex system that helps AI process information, similar to the AI's "brain" for connecting different pieces of information and understanding context.
  </Accordion>

  <Accordion title="Token">
    The small pieces of text that AI processes—these are the building blocks of language that AI understands, breaking down your message into processable pieces.
  </Accordion>
</AccordionGroup>

## Remember

<Note>
  You don't need to memorize all these terms to use Omnifact effectively. This glossary is here as a reference when you encounter unfamiliar terms.
</Note>

<CardGroup cols={2}>
  <Card title="Keep It Simple" icon="lightbulb">
    Focus on using Omnifact to help with your work - you don't need to be an AI expert
  </Card>

  <Card title="Ask Questions" icon="circle-question">
    If you encounter terms you don't understand, feel free to ask Omnifact to explain them
  </Card>
</CardGroup>

## Next Steps

* Return to [How to Interact with AI](/en/guides/ai-fundamentals/how-to-interact) to put these terms into practice, or explore [Capabilities and Limitations](/en/guides/ai-fundamentals/capabilities-and-limitations) to understand what AI can do
* Learn about [Uploaded Files Retrieval](/en/platform/core-features/spaces/uploaded-files-retrieval) and [Chat Instructions](/en/platform/core-features/spaces/customizing-spaces) to get the most out of Omnifact's features
* Review [Privacy & Security](/en/platform/core-features/privacy-security/introduction) to understand how Omnifact protects sensitive information