1Z0-1127-25 OCI Generative AI Service Practice Question
Which fine-tuning technique does OCI Generative AI use to efficiently update model parameters without modifying the entire model, enabling faster training on limited data?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
T-Few
T-Few is a parameter-efficient fine-tuning technique that updates only a small fraction of model parameters.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
T-Few
Why this is correct
OCI GenAI uses the T-Few fine-tuning technique.
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Full fine-tuning
Why it's wrong here
Full fine-tuning updates all parameters and is not the efficient method used.
- ✗
Prefix tuning
Why it's wrong here
Not used in OCI GenAI.
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LoRA
Why it's wrong here
LoRA is a common technique but not the one used by OCI GenAI fine-tuning.
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