Fine-Tuning interview questions
Adapt foundation models: when to fine-tune vs prompt vs RAG, SFT and PEFT, data curation, and evaluating whether the tune actually helped.
10 questions6 free to practice4 company-verified (Pro)
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- Can you solve this without an LLM or vector DB?
- When should you use hosted APIs vs open-source models?
- Fine-Tuning vs RAG — Choosing the Right Approach
- How would you make this AI system 60% cheaper without killing quality?
- LoRA vs QLoRA vs full fine-tuning — when to use each?
- What changes during fine-tuning? Optimizers, schedulers, and layer freezing
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