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Personalized Guidance with LLMs

MediumNLP00:00
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Problem

Scenario

You're building a system where a language model needs to give personalized guidance based on a user's profile, prior interactions, and stated goals. You need to decide when prompt design is enough and when task-specific fine-tuning is worth the added complexity.

Question

How would you fine-tune or prompt-engineer a large language model for personalized guidance?

What this tests

  • Prompt engineering for structured personalization
  • Parameter-efficient fine-tuning for domain behavior
  • LLM evaluation for helpfulness and hallucination control
  • Language-model design trade-offs in a real product setting