HOTSPOT (Drag and Drop is not supported)A company is designing a customer service chatbot by using a fine-tuned large language model (LLM). The company wants to ensure that the chatbot uses responsible AI characteristics.Select the correct responsible AI characteristic from the following list for each application design action. Each responsible AI characteristic should be selected one time or not at all.Hot Area:
Answer(s): A
An AI practitioner has a database of animal photos. The AI practitioner wants to automatically identify and categorize the animals in the photos without manual human effort.Which strategy meets these requirements?
Object detection is used to automatically identify and categorize objects (in this case, animals) in photos. It can detect the presence of animals and classify them accordingly. The other strategies are not suitable for identifying and categorizing animals in images.
A company is building a chatbot. The chatbot uses a large language model (LLM) and answers customer questions about products. The company wants the chatbot to answer only product questions. The company does not want the chatbot to answer questions about other topics.Which solution will meet these requirements with the LEAST operational overhead?
Setting guardrails on the prompt template is the least-overhead way to constrain the chatbot to product-related topics by defining allowed behavior and preventing responses outside the intended scope.
A financial company is using third-party large language models (LLMs) on Amazon Bedrock. The company has prepared a collection of regulatory financial documents. The company wants to customize the LLMs to generate responses that relate to these documents.Which strategy meets these requirements?
Answer(s): D
Continued pre-training adapts a foundation model to a specific domain by training it further on a large corpus of unlabeled domain-specific text. Using the company’s regulatory financial documents helps the model learn financial terminology, concepts, and context so its responses are more aligned with that document domain.
An ecommerce company wants to build a solution to determine customer sentiments based on written customer reviews of products.Which AWS services meet these requirements? (Choose two.)
Answer(s): B,D
Amazon Comprehend: This service is specifically designed for natural language processing (NLP) tasks,including sentiment analysis, making it ideal for analyzing customer reviews.Amazon Bedrock: Bedrock can be used to leverage foundation models, which can also be employed for sentiment analysis tasks.The other options are not suitable for sentiment analysis of written customer reviews.
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