AWS bedrock documentation change
Summary
Updated model customization documentation with Amazon Nova references, modified table headers, and consolidated guidance
Security assessment
Changes focus on documentation structure and model-specific guidance updates without security-related content
Diff
diff --git a/bedrock/latest/userguide/model-customization-prepare.md b/bedrock/latest/userguide/model-customization-prepare.md index a3d935e5c..7d0ba4134 100644 --- a//bedrock/latest/userguide/model-customization-prepare.md +++ b//bedrock/latest/userguide/model-customization-prepare.md @@ -9 +9 @@ Supported modalities for fine-tuning and continued pre-training Prepare datasets -Before you can begin a model customization job, you need to minimally prepare a training dataset. Whether a validation dataset is supported and the format of your training and validation dataset depend on the following factors. +Before you can begin a model customization job, you need to minimally prepare a training dataset. Whether a validation dataset is supported and the format of your training and validation dataset depend on the following factors. For information about fine-tuning Amazon Nova models, see [Fine-tuning Amazon Nova models](https://docs.aws.amazon.com/nova/latest/userguide/customize-fine-tune.html). @@ -37 +37 @@ The following table shows the input and output modalities that distillation supp -Model name | Fine-tuning:Text-to-text | Fine-tuning:Image-text-to-text | Fine-tuning: Text-to-image & Image-to-embeddings | Fine-tuning: Single-turn messaging | Fine-tuning: Multi-turn messaging | Continued Pre-training:Text-to-text +Model name | Fine-tuning: Text-to-text (Non-conversational) | Fine-tuning: Image-text-to-text | Fine-tuning: Text-to-image & Image-to-embeddings | Fine-tuning: Single-turn messaging | Fine-tuning: Multi-turn messaging | Continued Pre-training:Text-to-text @@ -246 +246 @@ Text-to-image & Image-to-embeddings -Amazon Nova models have different fine-tuning requirements. To fine-tune these models, follow the instructions at [Guidelines for preparing your data for Amazon Nova](https://docs.aws.amazon.com/nova/latest/userguide/customize-fine-tune-prepare.html). +Amazon Nova models have different fine-tuning requirements. To fine-tune these models, follow the instructions at [Fine-tuning Amazon Nova models](https://docs.aws.amazon.com/nova/latest/userguide/customize-fine-tune.html). @@ -280,20 +280 @@ The following is an example item that could be in the training data. -Select a tab to see the requirements for training and validation datasets for a model: - -Amazon Nova - - -Model | Minimum Samples | Maximum Samples | Context Length ----|---|---|--- -Amazon Nova Micro | 100 | 20k | 32k -Amazon Nova Lite | 8 | 20k (10k for document) | 32k -Amazon Nova Pro | 100 | 10k | 32k - -**Image and video constraints** - -Maximum image file size | 10 MB ----|--- -Maximum videos | 1 per sample -Maximum video length or duration | 90 seconds -Maximum video file size | 50 MB -Supported image formats | PNG, JPEG, GIF, WEBP -Supported video formats | MOV, MKV, MP4, WEBM +Choose a tab to see the requirements for training and validation datasets for a model. For information about fine-tuning Amazon Nova models, see [Fine-tuning Amazon Nova models](https://docs.aws.amazon.com/nova/latest/userguide/customize-fine-tune.html).