Exam AI-900_01 Overview | Microsoft Azure AI Fundamentals: AI Overview | 01 Fundamental AI Concepts
What are the three service features in Azure AI Vision?
1) Image Analysis, 2) Face, 3) Optical Character Recognition (OCR), are the three service features in Azure AI Vision
Name the six types of AI offerings from MS
1) Machine Learning, 2) Computer Vision, 3) Natural Language Processing, 4) Document Intelligence, 5) Knowledge Mining, 6) Generative AI
What is AI?
AI is software that imitates human behaviors and capabilities.
Give an example of Natural language processing (NLP)
An example of NLP is Starship Commander, a virtual reality (VR) game from Human Interact that takes place in a science fiction world. The game uses natural language processing to enable players to control the narrative and interact with in-game characters and starship systems. Using Microsoft Cognitive Services to power the back-end of the application (LOUIS). See: https://www.youtube.com/watch?v=nRZh7dkB_hs&t=121s
What is Automated machine learning?
Automated machine learning: This feature enables non-experts to quickly create an effective machine learning model from data.
Name one of Microsoft's knowledge mining solutions. (Hint: ACS)
Azure Cognitive Search - One Microsoft knowledge mining solution is Azure Cognitive Search
What's Azure Cognitive Search used for? Explain.
Azure Cognitive Search - can utilize the built-in AI capabilities of Azure AI services such as: 1) image processing, 2) document intelligence, and 3) natural language processing to extract data. The product's AI capabilities makes it possible to index previously unsearchable documents and to extract and surface insights from large amounts of data quickly.
What is Azure Machine Learning Designer?
Azure Machine Learning Designer: A graphical interface enabling no-code development of machine learning solutions. See: https://azure.microsoft.com/en-us/products/machine-learning/designer/#product-overview See: https://www.youtube.com/watch?v=HOjsXPN7IWs
What four devices does Azure Machine Learning Studio offer?
Azure Machine Learning Studio offers: 1) Automate Machine Learning, 2) Machine Learning Designer, 3) Data Metric Learning Designer, 4) Jupyter Notebooks
What is Azure machine learning?
Azure Machine Learning service - Machine Learning is a cloud-based platform for creating, managing, and publishing machine learning models.
What is Azure OpenAI Service?
Azure OpenAI Service is Microsoft's cloud solution for deploying, customizing, and hosting generative AI models.
What is Azure OpenAI Studio?
Azure OpenAI Studio is used for testing service features foundation models for different needs.
What is the purpose of Azure OpenAI Service?
Azure OpenAi Service - It brings together the best of OpenAI's cutting edge models and APIs with the security and scalability of the Azure cloud platform.
What are some of the challenges and risks with AI?
Challenges and risks of AI: - Bias, - Errors, - Data exposure, - Incompatible solutions, - user trust, - liability for AI driven decisions.
Explain Computer Vision services in Microsoft Azure.
Computer Vision Services in Microsoft Azure is Microsoft's Azure AI Vision to develop computer vision solutions.
What is Computer Vision?
Computer Vision is an area of AI that deals with visual processing.
What is Computer Vision?
Computer vision - Capabilities within AI to interpret the world visually through cameras, video, and images.
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What is Data Metric Visualization?
Data Metric Visualization: analyze and optimize your experiments with visualization. See: https://rmma-acom-preview-test.azurewebsites.net/home/gualala
What is Document Intelligence?
Document Intelligence - is the area of AI that deals with managing, processing, and using high volumes of a variety of data found in forms and documents. Document intelligence enables you to create software that can automate processing for contracts, health documents, financial forms and more See: https://www.youtube.com/watch?v=9JqYdauNvNY&t=6s See: https://www.youtube.com/watch?v=SqSlpvL5IsQ&t=1s
What tool are used to for testing Microsoft Azure AI Document Intelligence? Hit: Studio
Document Intelligence Studio - Extract text, key-value pairs, tables, and structures from forms and condiments using common layouts and prebuilt models, or create your own custom models.
What is Document intelligence?
Document intelligence - Capabilities within AI that deal with managing, processing, and using high volumes of data found in forms and documents.
Explain Face detection, analysis, and recognition in Computer Vision Model
Face detection - is a specialized form of object detection that locates human faces in an image. This can be combined with classification and facial geometry analysis techniques to recognize individuals based on their facial features. See: https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-face-detection See: https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/overview-identity See: https://www.microsoft.com/en-us/research/video/fake-it-till-you-make-it-face-analysis-in-the-wild-using-synthetic-data-alone-video/
What is Generative AI
Generative AI - Capabilities within AI that create original content in a variety of formats including natural language, image, code, and more.
How Does Generative AI work? Explain.
Generative AI applications take in natural language input, and return appropriate responses in a variety of formats including natural language, image, code, and audio.
What Is Generative AI?
Generative AI describes a category of capabilities within AI that create original content.
What is Image Analysis as it relates to Computer Vision Model?
Image Analysis - You can create solutions that combine machine learning models with advanced image analysis techniques to extract information from images, including "tags" that could help catalog the image or even descriptive captions that summarize the scene shown in the image. see: https://www.youtube.com/watch?v=F5zl8-JqWmo
Explain Image Classification in Computer Vision Models
Image Classification - Image classification involves training a machine learning model to classify images based on their contents. For example, in a traffic monitoring solution you might use an image classification model to classify images based on the type of vehicle they contain, such as taxis, buses, cyclists, and so on.
What are Notebooks?
Jupyter Notebooks: write and run your own code in managed Jupyter Notebook servers that are directly integrated in the studio.
What is Knowledge mining?
Knowledge mining - Capabilities within AI to extract information from large volumes of often unstructured data to create a searchable knowledge store.
What is Knowledge Mining?
Knowledge mining - is the term used to describe solutions that involve extracting information from large volumes of often unstructured data to create a searchable knowledge store. See: https://azure.microsoft.com/en-us/solutions/knowledge-mining See:https://azure.microsoft.com/en-us/products/ai-services/ai-search/ See: https://www.youtube.com/watch?v=tnol0I4uzcE
What is machine Learning?
Machine learning - This is often the foundation for an AI system, and is the way we "teach" a computer model to make predictions and draw conclusions from data.
What are Microsoft six principals for AI software development?
Microsoft six principals for Ai software - 1) Fairness, 2) Reliability and Safety, 3) Privacy and Security, 4) Inclusiveness, 5) Transparency, 6) Accountability,
What type of software can you create with Natural language processing (NLP)?
NLP enables you to create software that can: 1) Analyze and interpret text in documents, email messages, and other sources. 2) Interpret spoken language, and synthesize speech responses. 3) Automatically translate spoken or written phrases between languages. 4) Interpret commands and determine appropriate actions.
What is Natural language processing (NLP)?
Natural language processing (NLP) is the area of AI that deals with creating software that understands written and spoken language.
What is Natural language processing?
Natural language processing - Capabilities within AI for a computer to interpret written or spoken language, and respond in kind.
What is Optical character recognition (OCR)?
Optical character recognition - is a technique used to detect and read text in images. You can use OCR to read text in photographs (for example, road signs or store fronts) or to extract information from scanned documents such as letters, invoices, or forms.
Explain Segmentation in Computer Vision Model
Semantic segmentation is an advanced machine learning technique in which individual pixels in the image are classified according to the object to which they belong. For example, a traffic monitoring solution might overlay traffic images with "mask" layers to highlight different vehicles using specific colors. See: https://www.youtube.com/watch?v=FroRjEejA30&t=5s
Explain the Seeing AI app
The Seeing AI app Designed for the vision impared, blind and low vision community, it uses AI to open up the visual world and describe nearby people, text and objects.
Explain what two Azure services the Starship Commander VR game uses to interact with the gamers voice and instructions?
The VR game Strarship Commander uses Azure AI Language and Azure Speech AI recognition services to build natural language processing solutions, speech recognition, and synthesis, real-time translations, conversation transcriptions, and more.
What Microsoft Service you can use to build Generative AI?
Use the Microsoft Azure OpenAI service to build generative AI solutions.
What are the benefits of using Azure AI Document Intelligence?
You can use Microsoft's Azure AI Document Intelligence to: 1) Build solutions that manage and accelerate data collection from scanned documents. 2) help automate document processing in applications and workflows, enhance data-driven strategies, and enrich document search capabilities 3) use prebuilt models to add intelligent document processing for invoices, receipts, health insurance cards, tax forms, and more. 4) to create custom models with your own labeled datasets.
What is the purpose of Azure OpenAI Studio?
You can use the Azure OpenAI Studio user interface to manage, develop, and customize generative AI models. Explore Generative AI Models, craft unique prompts for your use cases, fine-tune select models. - manage - develop - customize generative AI models - Explore Generative AI Model - craft unique prompts - fine-tune select models
