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Practice for AI, ML and GenAI engineering interviews. Answer out loud or in writing, then learn from the reference solution.

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Fine-Tuning Interview Questions (Page 2) | Buncho

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LoRA/QLoRA, PEFT, RLHF/DPO, data preparation, and fine-tuning troubleshooting.

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25 problems

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TitleTopicTypeTimeAsked Companies Level

Not started21.What is synthetic data generation, and how do you use it for fine-tuning?Fine-Tuning · Practical exercise · 12 minAsked %CompaniesFine-TuningPractical exercise12 minPro featurePro featureMedium
Not started22.How do you evaluate a fine-tuned model's performance?Fine-Tuning · Practical exercise · 12 minAsked %CompaniesFine-TuningPractical exercise12 minPro featurePro featureMedium
Not started23.Explain the difference between pre-training, supervised fine-tuning (SFT), and preference optimization (RLHF/DPO). How does SFT differ from alignment training?Fine-Tuning · Conceptual · 12 minAsked %CompaniesFine-TuningConceptual12 minPro featurePro featureMedium
Not started24.What is continual pre-training, and when would you use it?Fine-Tuning · Conceptual · 10 minAsked %CompaniesFine-TuningConceptual10 minPro featurePro featureMedium
Not started25.How do you prepare a dataset for fine-tuning an LLM?Fine-Tuning · Practical exercise · 12 minAsked %CompaniesFine-TuningPractical exercise12 minPro featurePro featureMedium

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