Remove 2023 Remove Data Classification Remove Data Pipeline
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Connect, share, and query where your data sits using Amazon SageMaker Unified Studio

Flipboard

Global policies such as data dictionaries ( business glossaries ), data classification tags, and additional information with metadata forms can be created by the governance team to ensure standardization and consistency within the organization.

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Generate training data and cost-effectively train categorical models with Amazon Bedrock

AWS Machine Learning Blog

model_id = "anthropic.claude-3-5-sonnet-20240620-v1:0" # Load the prompt from a file (showed and explained later in the blog) with open('prompt.txt', 'r') as file: data = file.read() def callBedrock(body): # Format the request payload using the model's native structure. client = boto3.client("bedrock-runtime",

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