AWS bedrock documentation change
Summary
Removed 'continued pre-training' references, focused documentation solely on fine-tuning. Added detailed table of supported models and regions, updated section titles.
Security assessment
Changes are organizational and informational, primarily updating model support details. No security vulnerabilities, incidents, or security-specific features are mentioned. The title change to include 'security' is superficial without accompanying security content in the diff.
Diff
diff --git a/bedrock/latest/userguide/custom-model-fine-tuning.md b/bedrock/latest/userguide/custom-model-fine-tuning.md index c159e8673..537ae872a 100644 --- a//bedrock/latest/userguide/custom-model-fine-tuning.md +++ b//bedrock/latest/userguide/custom-model-fine-tuning.md @@ -5,18 +5,31 @@ -# Customize a model with fine-tuning or continued pre-training in Amazon Bedrock - -With Amazon Bedrock, you can train a foundation model to improve performance on specific tasks (known as fine-tuning) or pre-train a model by familiarizing it with certain types of inputs (known as continued pre-training). 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). - -###### Topics - - * [Supported models and Regions for fine-tuning and continued pre-training](./custom-model-supported.html) - - * [Prepare your training datasets for fine-tuning and continued pre-training](./model-customization-prepare.html) - - * [Fine-tuning Amazon Nova models](./nova-fine-tuning-advanced.html) - - * [Custom model hyperparameters](./custom-models-hp.html) - - * [Submit a model customization job for fine-tuning or continued pre-training](./model-customization-submit.html) - - - +Supported models and Regions for fine-tuning + +# Customize a model with fine-tuning in Amazon Bedrock + +With Amazon Bedrock, you can train a foundation model to improve performance on specific tasks (known as fine-tuning). 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). + +## Supported models and Regions for fine-tuning + +The following table shows the foundation models that you can fine-tune: + +Provider | Model | Model ID | Single-region model support +---|---|---|--- +Amazon | Nova 2 Lite | amazon.nova-2-lite-v1:0:256k | us-east-1 +Amazon | Nova Canvas | amazon.nova-canvas-v1:0 | us-east-1 +Amazon | Nova Lite | amazon.nova-lite-v1:0:300k | us-east-1 +Amazon | Nova Micro | amazon.nova-micro-v1:0:128k | us-east-1 +Amazon | Nova Pro | amazon.nova-pro-v1:0:300k | us-east-1 +Amazon | Titan Image Generator G1 | amazon.titan-image-generator-v1:0 | us-east-1 +Amazon | Titan Image Generator G1 v2 | amazon.titan-image-generator-v2:0 | us-east-1 us-west-2 +Amazon | Titan Multimodal Embeddings G1 | amazon.titan-embed-image-v1:0 | us-east-1 us-west-2 +Amazon | Titan Text G1 - Express | amazon.titan-text-express-v1:0:8k | us-east-1 us-west-2 +Anthropic | Claude 3 Haiku | anthropic.claude-3-haiku-20240307-v1:0:200k | us-west-2 +Meta | Llama 3.1 70B Instruct | meta.llama3-1-70b-instruct-v1:0:128k | us-west-2 +Meta | Llama 3.1 8B Instruct | meta.llama3-1-8b-instruct-v1:0:128k | us-west-2 +Meta | Llama 3.2 11B Instruct | meta.llama3-2-11b-instruct-v1:0:128k | us-west-2 +Meta | Llama 3.2 1B Instruct | meta.llama3-2-1b-instruct-v1:0:128k | us-west-2 +Meta | Llama 3.2 3B Instruct | meta.llama3-2-3b-instruct-v1:0:128k | us-west-2 +Meta | Llama 3.2 90B Instruct | meta.llama3-2-90b-instruct-v1:0:128k | us-west-2 +Meta | Llama 3.3 70B Instruct | meta.llama3-3-70b-instruct-v1:0:128k | us-west-2 + +For information about model customization hyperparameters for each model, see [Custom model hyperparameters](./custom-models-hp.html). @@ -30 +43 @@ To use the Amazon Web Services Documentation, Javascript must be enabled. Please -Model customization +Model customization access and security @@ -32 +45 @@ Model customization -Supported models and Regions for fine-tuning and continued pre-training +Prepare data for fine-tuning your models