Design a personalization service that tailors LLM responses to each user's context and history.

Personalizing an LLM is a retrieval and memory problem, not a per-user fine-tune. Learn how to assemble user context at request time, manage long-term memory without bloating the prompt, and respect privacy and the right to be forgotten.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.