ModelRefs / AI Personalization — AI Glossary
AI Personalization — AI Glossary
Adapting AI model outputs to individual user preferences, history, and context to improve relevance and satisfaction.
Overview
LLM personalization approaches: user profile injection in system prompt, retrieval of user history (RAG over past interactions), few-shot examples from user preferences, and fine-tuning on user data (with privacy constraints). Applications: personalized email drafting, recommendation explanations, tutoring systems adapting to student level.
Reference details
| Topic | applications |
|---|---|
| Last reviewed | 2026-06-24 |
Related terms
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to AI Personalization — AI Glossary.
Frequently asked questions
What is AI Personalization?
Adapting AI model outputs to individual user preferences, history, and context to improve relevance and satisfaction.
What concepts are related to AI Personalization?
Closely related concepts include long term memory, recommendation system, memory store.