A company is using supervised learning to train an AI model on a small labeled...

Fine-tuning involves training an already pre-trained FM on a smaller, labeled dataset for task specialization.

Data selection is about curating training data.

Pre-training is the initial training phase on massive datasets.

Evaluation happens after training, not during.

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AWS Documentation – Fine-tuning in Amazon Bedrock