An education company is building a chatbot whose target audience is teenagers. The company is training a custom large language model (LLM). The company wants the chatbot to speak in the target audience’s language style by using creative spelling and shortened words.
Which metric will assess the LLM’s performance?
A company wants to ensure that its Retrieval Augmented Generation (RAG) system retrieves all relevant documents for user queries without missing important information.
Which metric should the company track?
A company wants to build a lead prioritization application for its employees to contact potential customers. The application must give employees the ability to view and adjust the weights assigned to different variables in the model based on domain knowledge and expertise.
Which ML model type meets these requirements?
A company is developing a customer service agent by using Amazon Bedrock. The company wants to ensure that the agent does not disclose personally identifiable information (PII) during conversations with users.
Which Amazon Bedrock feature meets these requirements?
A financial services company is deploying an AI customer support system to handle product inquiries. As the company adds new products and updates policies, the system must continue operating effectively without requiring rebuilding.
Which AI characteristic is required for this use case?
A company is developing an ML model to predict customer churn.
Which evaluation metric will assess the model ' s performance on a binary classification task such as predicting chum?
A company wants to fine-tune an ML model that is hosted on Amazon Bedrock. The company wants to use its own sensitive data that is stored in private databases in a VP
C.
The data needs to stay within the company ' s private network.Which solution will meet these requirements?
A company is developing an ML application. The application must automatically group similar customers and products based on their characteristics.
Which ML strategy should the company use to meet these requirements?
A company wants to implement a generative AI solution to improve its marketing operations. The company wants to increase its revenue in the next 6 months.
Which approach will meet these requirements?
A company has trained a foundation model (FM) to perform a specific task. The company needs to fine-tune the FM to perform a different but related task.
Which fine-tuning method will meet this requirement?
