Fundamentals of Azure AI Services

Question 1

What are Azure AI Services?

Answer 1

Azure AI services are AI capabilities that can be built into web or mobile applications, in a way that’s straightforward to implement. These AI services include image recognition, natural language processing, speech, AI-powered search, and more. There are over a dozen different services that can be used separately or together to add AI power to applications.

Question 2

What does Azure AI Content Safety service do?

Answer 2

The Azure AI Content Safety service can be used to detect harmful content within text or images, including violent or hateful content, and report on its severity.

Question 3

What does Azure AI Language service do?

Answer 3

The Azure AI Language service can be used to summarize text, classify information, or extract key phrases

Question 4

What does Azure AI Speech Service do?

Answer 4

The Azure AI Speech service provides powerful speech to text and text to speech capabilities, allowing speech to be accurately transcribed into text, or text to natural sounding voice audio.

Question 5

3 principles of Azure AI Services (AAS)?

Answer 5

Azure AI services are based on three principles that dramatically improve speed-to-market:

Prebuilt and ready to use
Accessed through APIs
Available on Azure.

-offers AI as service
- capability to be customized (Customization capabilities in Azure AI Vision, Azure AI Speech, and Azure OpenAI all allow you to add data to existing models.)

Question 6

What are service studio interfaces?

Answer 6

Studio interfaces provide a friendly user interface to explore Azure AI services. There are different studios for different Azure AI services, such as Vision Studio, Language Studio, Speech Studio, and the Content Safety Studio.

Question 7

Summary?

Answer 7

Azure AI services are easy to use AI capabilities made available as resources on the Azure platform. Azure AI service capabilities include Language, Speech, Vision, Decision, Search, and Azure OpenAI.

In this module we’ve used several different terms relating to AI services. Here’s a recap:

API – application programming interfaces (APIs) enable software components to communicate, so one side can be updated without stopping the other from working.
Artificial Intelligence (AI) – computer programs that respond in ways that are normally associated with human reasoning, learning, and thought.
Azure AI services – a portfolio of AI services that can be incorporated into applications quickly and easily without specialist knowledge. Azure AI services is also the name for the multi-service resource created in the Azure portal that provides access to several different Azure AI services with a single key and endpoint.
Endpoint – the location of a resource, such as an Azure AI service.
Key – a private string that is used to authenticate a request.
Machine learning – the ability for computer programs to learn from large amounts of data, in a process known as “training”.
Multi-service resource – the AI service resource created in the Azure portal that provides access to a bundle of AI services.
Single-service resource – a resource created in the Azure portal that provides access to a single Azure AI service, such as Speech, Vision, Language, etc. Each Azure AI service has a unique key and endpoint.
RESTful API – a scalable web application programming interface used to access Azure AI services.