AI Glossary
Plain-language definitions for the AI landscape.
A reference for individuals and teams getting up to speed with confidence.
Plain-Language Glossary
Speak the language of AI - without the jargon.
- AI (Artificial Intelligence)
- Software systems that perform tasks typically requiring human intelligence - like generating text, recognizing patterns, or making predictions.
- LLM (Large Language Model)
- An AI model trained on vast text data to understand and generate human-like language. Examples include ChatGPT and Claude.
- Prompt
- The instruction or question you give an AI tool. Better prompts produce better results.
- Hallucination
- When an AI generates output that sounds confident but is factually wrong. Always review before relying on AI output.
- Fine-tuning
- Adapting a general AI model to your specific use case, voice, or domain by training it on additional examples.
- RAG (Retrieval-Augmented Generation)
- A technique that lets AI answer questions using your own documents instead of relying only on its training data.
- Guardrails
- Rules and review steps that constrain how AI is used - to protect quality, safety, and compliance.
- Human-in-the-loop
- A workflow where a person reviews or approves AI output before it's used in a real decision or sent to a real audience.
Keep Going
Ready to put these terms into practice?
Disclaimer
AI tools and recommendations provided by Birthed of Hope LLC are for informational purposes only. Results may vary. Always apply professional judgment and seek qualified advisors for legal, financial, medical, or compliance decisions.