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What does "Loss" measure in the evaluation of OCI Generative AI fine-tuned models?
The difference between the accuracy of the model at the beginning of training and the accuracy of the deployed model
How does the utilization of T-Few transformer layers contribute to the efficiency of the fine-tuning process?
Which is a key advantage of usingT-Few over Vanilla fine-tuning in the OCI Generative AI service?
When should you use the T-Few fine-tuning method for training a model?
Which is a key characteristic of the annotation process used in T-Few fine-tuning?
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