AI · Flashcard
What is fine-tuning of an LLM?
- AFurther training a pretrained model on custom data to adjust its weights
- BWriting detailed prompts that steer a pretrained model at request time
- CAttaching a document store so the model can look facts up at query time
- DCompressing a pretrained model to lower precision for cheaper inference
Why this is the answer
Fine-tuning continues training and updates the model's weights on your examples. Prompting and RAG leave the weights untouched — they only change the input the model sees.
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