These are Fine-Tuning questions of the kind TCS actually asks — the patterns that keep coming back in TCS's AI project interviews, where what matters is applying Fine-Tuning sensibly for clients rather than research depth. Treat this page as a mock interview: say every answer out loud before revealing it. If one surprises you, the lesson behind it is linked at the bottom.
TCS Fine-Tuning concept questions
What is fine-tuning, and when would you use it instead of RAG?
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What is overfitting in the context of fine-tuning, and how would you detect and prevent it?
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TCS Fine-Tuning applied & hands-on questions
A client says: 'Our chatbot gives wrong answers about our leave policy. Can we train the AI on our HR documents?' Write the answer you would give in a client meeting.
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How to use this page: TCS rarely asks something you've never seen — they ask a standard Fine-Tuning concept and then push one level deeper ("why?", "what would you do if..."). Master the concept in the Fine-Tuning course lessons, and the follow-up stops being scary.
Keep practising: When to Fine-Tune, LoRA & PEFT, Evaluating LLMs and LLMOps & Monitoring cover what most TCS Fine-Tuning rounds test — and the TCS NQT exam guide covers the rest of their selection process.