A company uses an Amazon Bedrock foundation model (FM) to summarize documents for an internal use case. The company trained a custom model in Amazon Bedrock to improve the quality of the model’s summarizations. The company needs a solution to use the customized model on Amazon Bedrock.
Which solution will meet this requirement?
A company uses Amazon SageMaker AI to generate article summaries in multiple languages. The company needs a metric to evaluate the quality of the summary translations in multiple languages. Which evaluation metric will meet these requirements?
A hospital developed an AI system to provide personalized treatment recommendations for patients. The AI system must provide the rationale behind the recommendations and make the insights accessible to doctors and patients.
A company wants to improve a large language model (LLM) for content moderation within 3 months. The company wants the model to moderate content according to the company ' s values and ethics. The LLM must also be able to handle emerging trends and new types of problematic content.
Which solution will meet these requirements?
A company is exploring Amazon Nova models in Amazon Bedrock. The company needs a multimodal model that supports multiple languages.
A company wants to collaborate with several research institutes to develop an AI model. The company needs standardized documentation of model version tracking and a record of model development.
Which solution meets these requirements?
A company wants to use an AI model to generate labels for online news articles that the company publishes. The company selects a foundation model (FM) instead of a conventional ML model for this task.
What is one advantage of using an FM instead of a conventional ML model to meet this requirement?
Which AWS service creates business intelligence reports and automatically generates executive summaries based on data that users provide?
