6. Overview of OCI AI and Machine Learning Services

These flashcards cover the key concepts and components related to OCI AI services and machine learning, along with principles of responsible AI.

What services are covered in the overview of OCI AI services?

OCI AI services, OCI machine learning services, OCI AI infrastructure, and responsible AI principles.

What are prebuilt models in OCI AI services?

Prebuilt models are AI models that are ready to use for specific applications without needing additional training.

How can AI services be accessed?

AI services can be accessed via OCI console, REST API, programming language SDKs, and command line interface.

What is the function of OCI Digital Assistant?

It is a platform to create and deploy AI-driven interfaces for users to complete tasks through natural language conversations.

What is OCI Data Science?

OCI Data Science is a cloud service designed to support data scientists throughout the machine learning lifecycle.

What are the three core principles of OCI Data Science?

The three core principles are accelerated, collaborative, and enterprise grade.

What does the Model Catalog in OCI Data Science do?

The Model Catalog is a centralized repository to store, track, share, and manage models.

How does OCI Data Science support machine learning model training?

It provides environments like JupyterLab, along with tools like AutoML, and allows for easy deployment of machine learning models.

What is the purpose of GPUs in AI workloads?

GPUs are used to perform repetitive calculations quickly and efficiently for tasks such as model training and inference.

What are the guiding principles for trustworthy AI?

AI should be lawful, ethical, and robust to prevent unintentional harm.

What role does human dignity play in AI ethics?

Human dignity ensures that AI systems respect and protect the worth of every individual.

What is the first step in the responsible AI implementation process?

Establishing governance.

What is necessary for AI systems to be explainable?

AI systems should provide transparency in decision-making processes for those affected.

1.    What is the advantage of using OCI Superclusters for AI workloads?

Deliver exceptional performance and scalability for complex AI tasks.

Explanation: OCI AI Superclusters are specifically designed to handle demanding AI workloads that require significant computational power and scalability. They are optimized to provide high performance for complex tasks like training large machine learning models, deep learning, and other compute-intensive AI tasks.

Which is NOT an Oracle Cloud Infrastructure AI service?

Translator

Explanation: Oracle Cloud Infrastructure (OCI) offers various AI services, including Language, Speech, and Vision services. "Translator" is not a standalone AI service category offered by Oracle Cloud Infrastructure

Which OCI Data Science feature allows you to use catalogued models as HTTP endpoints on fully managed infrastructure?

Model Deployments

Explanation: Model Deployments in OCI Data Science enable you to deploy your machine learning models as HTTP endpoints, making them accessible for real-time predictions and inferences. You can easily deploy, manage, and scale these models on fully managed infrastructure. Model Deployments are a key component for operationalizing your machine learning models and integrating them into your applications or services.

Which OCI Data Science feature enables you to define and run repeatable machine learning tasks on fully managed infrastructure?

Jobs

Explanation: Jobs in OCI Data Science allow you to define and run repeatable machine learning tasks and workflows. You can create and execute specific operations, such as data preprocessing, model training, model evaluation, and more, using Jobs. They provide a structured way to automate and manage individual tasks within a data science project.

Which data type is used in Oracle Database 23ai to compare documents?

Vector