Introduction To Azure Open A.i. Service

Question 1

Azure as you’re open a.i. service enables users to build enterprise-grade Solutions with open a.i. models with a zero open a.i. users can summarise text get code suggestions generate images for a website and much more

Question 2

Capabilities of open a.i. AI models. There are several categories of capabilities found in open.ai models three of these include

Answer 2

Generating natural language. Such as coal on summarising complex text for different reading levels suggesting alternative wording for sentences and much more

Question 3

Generating code such as translating code from one programming language into another identifying and troubleshooting bugs in code and much more

Answer 3

Generating images. Such as karma generating images for public for publications from text descriptions and much more

Question 4

What is a generative AI
Artificial intelligence. Machine learning. Deep learning. Generative ai

Answer 4

Artificial intelligence imitates human behaviour by relying on machines to learn and execute tasks without explicit to descriptions on what to output

Question 5

Machine learning models take in data like weather conditions and fit the data to an algorithm to make predictions like how much money is store might make in a given day

Answer 5

Deep learning models who’s layers of algorithms in the form of artificial neural networks to return results for more complex cases many as your AI services are built on deep learning models

Question 6

Generative AI models can produce new context based on what is described in the output. The open a.i. models are a collection of generative models that can produce language code and images

Answer 6

Describe as you open a new line Microsoft has partnered with open a.i. to deliver on three main goals
To utilise as yours infrastructure including security compliance and regional availability to help users build enterprise-grade applications
To deploy open a RAR models capabilities across Microsoft products including and beyond as your AI products
To use Azure to power all of open a.i work load

Question 7

Azure open.ai service as a result of the partnership between Microsoft and open a.i. The service combines as yours enterprise-grade capabilities with open ai generative AI model capabilities

Answer 7

Using open a.i. allows you to transition between your work with as your services and open a.i. while utilising Microsoft’s azureprivate networking regional availability and responsible a life-altering

Question 8

Open a.i. is available for users and consists of four components
Free generative a models
Customisation capabilities the ability to fine-tune our models with your own data
Built-in tools to detect and mitigate harmful cases so users can implement AI responsibly
Enterprise-grade security with role-based access control (rbac) and private networks Using open a.i. allows you to transition between your work with Azure services and open a, while utilising as your as private networking regional availability and responsible AI content filtering

Answer 8

Open a.i. supports many common AI workloads and sells for some new ones
Common AI workloads include machine learning computer vision natural language processing conversational AI anomaly detection and knowledge mining

Question 9

Other AI workloads open a.i. supports can be categorised by tasks they support
Generating natural language I text completion: generate and edittext
Embeddings Carolyn search classify and compare text
Generating code: generate edit and explain code
Generating images: generate and edit images

Answer 9

Microsoft AI services are tools for solving a workloads and can be categorised into 3 groupings: as there is Microsoft machine learning platform
Cognitive services
Applied AI services

Question 10

Microsoft cognitive services has Five Pillars: vision speech-language decision and the Microsoft open a.i. service.
The services you choose to use depend on what you need to accomplish. In particular there are several overlapping capabilities between the cognitive services language server and open a service such as translation sentiment analysis and keyword extraction Note pricing is different for a for open a.i. and cognitive service for language

Question 11

To use open a.i. you need to apply for access to open a.i. once access is granted and you can use the service by creating an open a.i. resources like he would for other services once the resource is created you can use the service through rest API Python SDK all the web-based interface in the open a.i. studio

Answer 11

Open a.i. models fall into a few Maine families Caroline Newsline
GPT – 4
Gpt – 3
Codex
Embeddings
Dall - e

Question 12

Open aiai models can all be trained and customised with fine-tuning. Generative AI models always have a probability of reflecting true values. Higher-performing models such as models that have been fine-tuned for specific tasks do a better job of returning responses that reflect true values. Is is important to review the output of generative AI models

Answer 12

In the open-air studio you can experiment with AI models in playgrounds. In The completions playground you can type in prompts configure parameters and see responses without having to code.

Question 13

In the truck playground you can use the assistant setup to instruct the model about how it should behave. The assistant will try to mimic the responses you include in town rules and format you’ve defined in your system message

Question 14

Open as natural language models are able to take in natural language and generate response.
Natural language learning models are trained on words or trunks of characters known as tokens.
For example the word hamburger gets broken up into tokens hum bur and her, while a short and common word like pair is a single token these tokens are mapped into vectors for a machine learning model to use for training. When a trained natural language model takes in a user’s input it also breaks down the input into tokens

Question 15

Generative pre-trained transformer (GPT) models are excellent at birth understanding and creating natural language.
If you’ve seen recent news around AA answering questions or writing a paragraph based on a prompt it likely could have been generated by a GPT model. Repeating models often have the version appended to the end such as GPT – 3 or GPT – for. As your open a.i. offers access Freeview access to chat GPT powered by gpt at – 35 – turbo and to GPT – 4

Answer 15

A key aspect of open a i generative or where is that it takes and input or prompt to return a natural language visual or code response fullstop GPT tries to infer or guess the context of the user’s question based on the prompt.

Question 16

3-pt models are great for completing several natural language tasks some of which include:
Summarising text her on summarise this text into a short blurb Classifying text prompt what genre of book is this Generating names or phrases prompt write a tagline for my flower flower company.

Answer 16

Translation from to translate how are you to french
Answering questions from what does a zero open.ai do
Suggested content prompt give me the five best wedding songs

Question 17

How are models applied to new use cases
The portal consists of the front end user interface (you I) is a c and a back-end that includes a generative ai model
The combination of the front and back-end can be described as a chatbot. The model provided on the backend is what is available as a building block with with the open a.i. API and Microsoft open a.i. API

Question 18

Understand open.ai code generation capabilities:
Generation II models are able to take natural language or code snippets and translate them into code.
The open API code generation model family codex is proficient in over a dozen languages such as c-sharp JavaScript Paul PHP and is most capable in Python

Answer 18

Codex:
Codex models are based off of gbt – 3 and 1/2 demised to understand and write code. These models have been trained on both natural language and millions of lines of code from Public repository is. Codex is able to generate code from natural language instructions such as code comments and can suggest ways to complete code functions

Question 19

Cogeneration models can help developers go faster understand new coding languages and focus on solving bigger problems than the application or in the application. Developers can break down their goal into simpler tasks and use codex to help build those out tasks using known patterns

Question 20

Github CoPilot turn on new line open a.i. partnered with get help to create get hype CoPilot which they called an AI programmer.
Get up CoPilot integrates the power of open a.i. codex into a plug-in for developer environments like Visual Studio code
Once the plugin is installed and enabled you can start writing code and get up CoPilot start automatically suggesting the remainder of the function based on the coat comments or the function name. For example we have only a function name in the file and the greatest is automatically suggested to complete it

Answer 20

Github CoPilot offers multiple suggestions for code completion which you can tab through using keyboard shortcuts. When given information could commence it can even suggest a function name along with the complete function code

Question 21

Open a.i. image generation capabilities:
Image generation models can take a prompt a base image or both and create something new full stops these generative or why are models can create both realistic and artistic images change the layout or style of an image and create variations on a provided image.

Answer 21

D a l l – a:
In addition to natural language capabilities generative models can edit and create images. The model that works with images is called d a l l e. Much like CPT models subsequent versions of d a l l- e are appended onto the name such as dall-e
Image capabilities generally fall into three categories of image creation editing and image and creating variations of an image

Question 22

Image generation:
Original images can be generated by providing a text prompt of what you would like the image to be up. The more detailed the prompt the more likely the model will provide a desired result new line DALL-E can even request an image in a particular Style such as quotation a dog in the style of Vincent van Gogh and quotation Styles can be used for edits and variations as well

Answer 22

For example given the prompt and elephant standing with a burger on top style digital art the model generates digital art images depicting exactly what is asked for

Question 23

When provided an image WALL-E can edit the image as requested by changing its style adding or removing items or generating new content to add.
Edits are made by uploading the original image and specifying a transparent mask that indicates what area of the image did it. Along with the image and mask a prompt indicating what it is to be edited instructs the model to then generate the appropriate content to fill the area

Answer 23

Image variations:
Image variations can be created by providing an image and specifying how many variations of the image you would like. The general content of the image will stay the same but aspects will be adjusted such as where the subjects are located or looking background seeing and colours may change Note access to WALL-E is currently granted on an invite basis only

Question 24

Open a.i. access and responsible our policies turn on new line it’s important to consider the ethical implications of working with AI systems full-stop open a.i. provides powerful Nate natural-language models capable of completing various tasks and operating in several different use cases each with their own considerations for safe and fair use full-stop team or individuals tasked with developing and deploying AI systems should work to identify measure and mitigate harm. Usage of open-air I should follow the six Microsoft AI principles

Answer 24

Microsoft AI principles carolina
Tennis AI systems shouldn’t make decisions that discriminate against all support buyers of a group or individual.
Reliability and safety code on a assistance should respond safely to new situations and potential manipulation.
Privacy and security code on AI systems should be secure and respect data privacy

Question 25

Microsoft AI principles final 3:
Inclusiveness: AI systems should empower everyone and engage people
Accountability: people must be accountable for how AI systems operate.
Transparency Cole on AI systems should have explanation so users can understand how they are built and used.

Answer 25

Responsible our principles guide Microsoft’s transparency notes on open.ai as well as explanations of other products. Transparency notes are intended to help you understand how Microsoft’s AI technology works the choices system owners can make that influence system performance and behaviour and the importance of thinking about the whole system including the technology the people and the environment

Question 26

Limited access to open a.i.:
As part of Microsoft’s commitment to using AI responsibly access to open a.i. is currently limited. Customers that wish to use open a.i. must submit a registration form for both initial experimentation access and again for approval for use in production full-stop additional registration is required for customers who want to modify content filters or modify abuse monitoring settings

Question 27

How are chat 3-pt open a.i. and open my Microsoft a related:
Open a.i. is a research company that developed chat GPT a a chatbot that uses generator they are models. Open a.i. Microsoft provides access to many of open ai-ai models