Build scalable personalization systems for LLM applications using user profiles, embedding-based preferences, and privacy-preserving context injection techniques.
How LLM providers use training data, privacy guarantees from OpenAI vs Azure vs AWS Bedrock, PII detection and redaction, and self-hosted LLM alternatives.