Security best practices to consider while fine-tuning models in Amazon Bedrock
AWS Machine Learning
JANUARY 24, 2025
Analyze results through metrics and evaluation. Model customization in Amazon Bedrock involves the following actions: Create training and validation datasets. Set up IAM permissions for data access. Configure a KMS key and VPC. Create a fine-tuning or pre-training job with hyperparameter tuning. Use the custom model for tasks like inference.
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