Question: For end-to-end implementation of Generative use cases for your client you need different technical and orchestration components. What are the major components of a high-level generative AI architecture?Instruction: Choose the option that best answers the questionApplication, Patterns, Prompt , Foundation Model, Embedding & VectorizationUse cases, Embedding & Vectorization, Application, Workflow, ResponseApplication, Patterns, Workflow , Foundation Model, ATRApplication, Patterns, Codex , Foundation Model, Embedding & Vectorization

Question: For Generative AI solutions to provide high quality and relevant response, we must provide client specific knowledge and data to Generative AI solution. What is the process called for converting client data into a format suitable for generative AI processing?Instruction: Choose the option that best answers the questionBoostingVector EmbeddingPrompt engineeringCleansing

Which of the following stages are part of the generative AI model lifecycle mentioned in the course? (Select all that apply)1 pointManipulating the model to align with specific project needs.Deploying the model into the infrastructure and integrating it with the application.Performing regularizationDefining the problem and identifying relevant datasets.Selecting a candidate model and potentially pre-training a custom model.5.

Generative AI is a type of artificial intelligence that can ____.Generate text, images, or other data using generative models.Make predictions about future events.Generate responses on real-time data.Perform complex calculations and mathematical operations.

Which steps are part of the integration process of Generative AI?Instruction: Choose all options that best answer the question. Answer ChoicesNotify your users that your organization is actively using AISetting up an account with the Generative AI platformRegister with ABE (AI Board of Ethics)Selecting the appropriate API service for integration

Which option best defines generative AI?A subset of AI that enables a machine to learn from data without being explicitly programmed.A set of technologies that enable computers to perform a variety of advanced functionsA subset of AI that refers to the use of AI to create new content, like text, images, music, audio, and videos.A generated response from an AI application that may seem coherent and confidently-presented but that is not actually based in factuality.