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An AI practitioner has built a deep learning model to classify the types of materials in images. The AI practitioner now wants to measure the model performance. Which metric will help the AI practitioner evaluate the performance of the model?
A company wants to create a chatbot that answers questions about human resources policies. The company is using a large language model (LLM) and has a large digital documentation base. Which technique should the company use to optimize the generated responses?
Which of the following represents the best-fit use cases for utilizing Retrieval augmented generation (RAG) in Amazon Bedrock? (Select two)
A retail company needs to perform sentiment analysis for its customer service audio calls.
Which AWS services would you recommend for this requirement?
A manufacturing company aims to leverage Amazon Bedrock to create a generative AI application that automates the monitoring of inventory levels, sales data, and supply chain information. The application should also recommend optimal reorder points and quantities to enhance operational efficiency.
What do you recommend?
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