AI-900 - 01-31-2024 - AI Overview - Fundamental AI Concepts
six principles
Challenges and risk with AI At Microsoft, AI software development is guided by a set of s__ p_________, designed to ensure that AI applications provide amazing solutions to difficult problems without any unintended negative consequences. 1. Fairness 2. Reliability and safety 3. Privacy and security 4. Inclusiveness 5. Transparency 6. Accountability
face detection
Computer Vision models and capabilities F___ d________ 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.
image classification
Computer Vision models and capabilities I____ c_____________ involves training a machine learning model to classify images based on their contents. For example, in a traffic monitoring solution you might use an i____ c_____________ model to classify images based on the type of vehicle they contain, such as taxis, buses, cyclists, and so on.
Object detection
Computer Vision models and capabilities O_____ d________ machine learning models are trained to classify individual objects within an image, and identify their location with a bounding box. For example, a traffic monitoring solution might use o_____ d________ to identify the location of different classes of vehicle.
Optical Character Recognition (OCR)
Computer Vision models and capabilities O______ C________ R__________ (OCR) 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.
Semantic Segmentation
Computer Vision models and capabilities Sem_____ Seg_____tion 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.
image analysis
Computer Vision models and capabilities You can create solutions that combine machine learning models with advanced i____ a_______ 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.
Azure Vision Studio
Computer vision services in Microsoft Azure The service features (of Azure AI Vision) are available for use and testing in the A____ V_____ S_____ and other programming languages. Some features of Azure AI Vision include: * Image Analysis: capabilities for analyzing images and video, and extracting descriptions, tags, objects, and text. * Face: capabilities that enable you to build face detection and facial recognition solutions. * Optical Character Recognition (OCR): capabilities for extracting printed or handwritten text from images, enabling access to a digital version of the scanned text.
Azure AI Vision
Computer vision services in Microsoft Azure You can use Microsoft's A____ __ V_____ to develop computer vision solutions.
Document Intelligence Studio
D_______ I___________ in Microsoft Azure The service features (of Azure AI Document Intelligence) are available for use and testing in the D_______ I___________ S_____ and other programming languages.
Machine Learning (ML)
Understand M______ L_______ M______ L_______ (ML) is the foundation for most AI solutions. Since the 1950's, researchers, often known as data scientists, have worked on different approaches to AI. Most modern applications of AI have their origins in M______ L_______ (ML), a branch of AI that combines computer science and mathematics.
Azure AI Document Intelligence
D_______ I___________ in Microsoft Azure You can use Microsoft's A____ __ D_______ I___________ to build solutions that manage and accelerate data collection from scanned documents. Features of A____ __ D_______ I___________ help automate document processing in applications and workflows, enhance data-driven strategies, and enrich document search capabilities. You can use prebuilt models to add intelligent document processing for invoices, receipts, health insurance cards, tax forms, and more. You can also use A____ __ D_______ I___________ to create custom models with your own labeled datasets.
AI model
Fundamental AI Concepts (Extra included term to know!) A_ m____ - A program that has been trained to represent patterns in data, events, systems, behaviors, or natural phenomena
Azure OpenAI Studio
Generative AI in Microsoft Azure Azure OpenAI supports many foundation model choices that can serve different needs. The service features (of Azure OpenAI Service) are available for use and testing in the A____ O___AI S_____ and other programming languages. You can use the A____ O___AI S_____ user interface to manage, develop, and customize generative AI models.
Azure OpenAI Service
Generative AI in Microsoft Azure In Microsoft Azure, you can use the A____ O___AI Ser____ to build generative AI solutions. A____ O___AI Ser____ is Microsoft's cloud solution for deploying, customizing, and hosting generative AI models. It brings together the best of OpenAI's cutting edge models and APIs with the security and scalability of the Azure cloud platform.
data
How machine learning works So how do machines learn? The answer is, from d___. In today's world, we create huge volumes of d___ as we go about our everyday lives. Data scientists can use all of that d___ to train machine learning models that can make predictions and inferences based on the relationships they find in the d___. Machine learning models try to capture the relationship between d___.
Artificial Intelligence (AI)
Introduction to AI A__________ I___________ (AI) is software that imitates human behaviors and capabilities. Key workloads include: * 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. * Computer vision - Capabilities within AI to interpret the world visually through cameras, video, and images. Natural language processing - Capabilities within AI for a computer to interpret written or spoken language, and respond in kind. * Document intelligence - Capabilities within AI that deal with managing, processing, and using high volumes of data found in forms and documents. * Knowledge mining - Capabilities within AI to extract information from large volumes of often unstructured data to create a searchable knowledge store. * Generative AI - Capabilities within AI that create original content in a variety of formats including natural language, image, code, and more.
Azure AI Search
Knowledge mining in Microsoft Azure One Microsoft knowledge mining solution is A____ __ S_______, a private, enterprise, search solution that has tools for building indexes. The indexes can then be used for internal only use, or to enable searchable content on public facing internet assets. A____ __ S_______ can utilize the built-in AI capabilities of Azure AI services such as image processing document intelligence, and 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.
knowledge mining
Understand K________ m_____ K________ m_____ is the term used to describe solutions that involve extracting information from large volumes of often unstructured data to create a searchable knowledge store.
Azure Machine Learning Studio
Machine learning in Microsoft Azure A____ M______ L______ S_____ offers multiple authoring experiences such as: * Automated machine learning: this feature enables non-experts to quickly create an effective machine learning model from data. * Azure Machine Learning designer: a graphical interface enabling no-code development of machine learning solutions. * Data metric visualization: analyze and optimize your experiments with visualization. * Notebooks: write and run your own code in managed Jupyter Notebook servers that are directly integrated in the studio.
Azure Machine Learning
Machine learning in Microsoft Azure Microsoft Azure provides the A____ M______ L____ing service - a cloud-based platform for creating, managing, and publishing machine learning models.
Azure AI Speech
Natural language processing in Microsoft Azure Microsoft's A____ A_ S_____ is another service that can be used to build natural language processing solutions. A____ A_ S_____ features include speech recognition and synthesis, real-time translations, conversation transcriptions, and more.
Language, Speech
Natural language processing in Microsoft Azure You can explore Azure AI Language features in the Azure ________ Studio and Azure AI Speech features in the Azure ______ Studio. The service features are available for use and testing in the studios and other programming languages.
Azure AI Language
Natural language processing in Microsoft Azure You can use Microsoft's A____ A_ L______ to build natural language processing solutions. Some features of A____ A_ L______ include understanding and analyzing text, training conversational language models that can understand spoken or text-based commands, and building intelligent applications.
Computer Vision
Understand C_______ V_____ C_______ V_____ is an area of AI that deals with visual processing. The Seeing AI app is a great example of the power of C_______ V_____. Designed for the blind and low vision community, the Seeing AI app harnesses the power of AI to open up the visual world and describe nearby people, text and objects.
Document Intelligence
Understand D_______ I___________ D_______ I___________ is the area that deals with managing, processing, and using high volumes of variety of data found in forms and documents. D_______ I___________ enables you to create software that can automate processing for contracts, health documents, financial forms and more.
Generative AI
Understand G_________ A_ G_________ A_ describes a category of capabilities within AI that create original content. People typically interact with G_________ A_ that has been built into chat applications. G_________ A_ applications take in natural language input, and return appropriate responses in a variety of formats including natural language, image, code, and audio.
Natural Language Processing (NLP)
Understand N______ L_______ P_________ N______ L_______ P_________ (NLP) is the area of AI that deals with creating software that understands written and spoken language. NLP enables you to create software that can: * Analyze and interpret text in documents, email messages, and other sources. * Interpret spoken language, and synthesize speech responses. * Automatically translate spoken or written phrases between languages. * Interpret commands and determine appropriate actions.
transparency
Understand Responsible AI AI systems should be understandable. Users should be made fully aware of the purpose of the system, how it works, and what limitations may be expected (t___________).
inclusiveness
Understand Responsible AI AI systems should empower everyone and engage people (i____________). AI should bring benefits to all parts of society, regardless of physical ability, gender, sexual orientation, ethnicity, or other factors.
reliably, safely
Understand Responsible AI AI systems should perform r_____ly and sa__ly. For example, consider an AI-based software system for an autonomous vehicle; or a machine learning model that diagnoses patient symptoms and recommends prescriptions. Unreliability in these kinds of systems can result in substantial risk to human life. AI-based software application development must be subjected to rigorous testing and development management processes to ensure that they work as expected before release.
privacy, security
Understand Responsible AI AI systems should respect p______ and be secure (s_______). The machine learning models on which AI systems are based rely on large volumes of data, which may contain personal details that must be kept private. Even after the models are trained and the system is in production, p______ and s_______ need to be considered. As the system uses new data to make predictions or take action, both the data and decisions made from the data may be subject to p______ or s_______ concerns.
fair
Understand Responsible AI AI systems should treat all people f___ly. For example, suppose you create a machine learning model to support a loan approval application for a bank. The model should predict whether the loan should be approved or denied without bias. This bias could be based on gender, ethnicity, or other factors that result in an un____ advantage or disadvantage to specific groups of applicants. Azure Machine Learning includes the capability to interpret and quantify the extent to which each feature of the data influences the model's. prediction. This capability helps data scientists and developers identify and mitigate bias in the model.
Accountable
Understand Responsible AI People should be acc________ for AI systems. Designers and developers of AI-based solutions should work within a framework of governance and organizational principles that ensure the solution meets ethical and legal standards that are clearly defined.