Section-Based – Fundamentals of Generative AI (AIF-C01)

A machine learning engineer is evaluating the performance of a generative model system used for customer support. The engineer needs to identify key performance metrics and optimize the model for better response accuracy and efficiency.

Which business metric would best evaluate the model’s performance?

An e-commerce company is designing a chatbot to assist customers with product inquiries, order status updates, and troubleshooting.

Which capability of AI is most relevant for ensuring that the chatbot provides real-time responses to customer queries?

A company uses a generative AI model to automate content creation for its social media posts. The model has been trained on various topics, including technology, fashion, and travel. Recently, the company decided to expand its business into the fitness industry.

Which capability of generative AI will be crucial for the model to adjust its output and generate relevant fitness-related content?

An e-commerce company needs to analyze customer reviews to determine the overall sentiment (positive, negative, neutral, or mixed) and extract key phrases and entities from the text.

Which of the following AWS services should you use?

An ML specialist has created a foundation model for a customer support chatbot. The bot’s responses are accurate but don’t align with the company’s formatting. The specialist wants to adjust the responses to match the company’s branding without high costs.

Which method will fulfill these requirements in the most cost-efficient manner?

A company is considering implementing generative AI models to enhance its customer support system. However, the technical team is concerned about the potential disadvantages and limitations of using such models in production. They need to identify the specific challenges that may arise when working with generative AI.

What are some common challenges or drawbacks associated with using generative AI models? (Select TWO.)

A retail company wants a chatbot to assist customers with product recommendations and order inquiries. The chatbot must use the product catalog and order history stored in Amazon S3. The company needs a fully managed service that handles natural language understanding, model selection, and conversation flow with minimal setup and maintenance.

Which AWS service would be the MOST suitable choice for this use case?

An organization plans to leverage generative AI to craft personalized marketing content for their campaigns.

Which foundational AI capability is essential to ensure generative AI’s effective and responsible use?

A travel agency needs to fine-tune a foundation model (FM) to assist customers by providing detailed trip planning advice, handling multi-turn conversations about travel preferences, and making personalized recommendations.

Which method will satisfy these requirements?

A project involves generating product descriptions for an e-commerce website using a dataset of existing product descriptions from the site.

Which fine-tuning approach is most appropriate for adapting a pre-trained language model to generate product descriptions similar to those in the dataset?

A company is developing an application for document summarization using a large language model (LLM). They will use embeddings to help the model understand and process information more effectively.

Why are embeddings important for the LLM in generating accurate summaries?

An AI specialist is testing a chatbot that uses an embedding model to provide recommendations based on user input. The specialist types “good Japanese restaurants” into the chatbot.

What would the embedding model generate?