Introduction Flashcards
What is AI?
AI is software that imitates human behaviors and capabilities. useful in Machine learning, Computer vision,
Natural language processing, Document intelligence, Knowledge mining, Generative AI.
What is Machine Learning?
We generate a lot of data. We use these data to train machine learning models to make predictions and inferences based on the relationships they find in the data.
Machine learning models try to capture the relationship between data.
What is Microsoft Azure - Machin Learning service?
Microsoft Azure provides the Azure Machine Learning service - a cloud-based platform for creating, managing, and publishing machine learning models.
How is AI used in computer vision?
Computer Vision is an area of AI that deals with visual processing. The Seeing AI app is a great example of the power of computer vision. 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.
Computer Vision models and capabilities : Image classification, Object detection, Semantic segmentation, Image analysis, Face detection, analysis, and recognition, Optical character recognition (OCR
Microsoft products : Microsoft’s Azure AI Vision to develop computer vision solutions. The service features are available for use and testing in the Azure Vision Studio and other programming languages. Some features of Azure AI Vision include: Image Analysis: Face: Optical Character Recognition (OCR):
How is AI used in Natural Language Processing
Natural language processing (NLP) is the area of AI that deals with creating software that understands written and spoken language.
Microsoft products : Azure AI Language, Azure AI Speech
How is AI used in 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.
Microsoft Products: Azure AI Document Intelligence.
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.
Microsoft Products: Azure AI Search - can utilize the built-in AI capabilities of Azure AI services such as image processing, document intelligence, and natural language processing to extract data.
How is AI used in generative AI?
Generative AI describes a category of capabilities within AI that create original content. People typically interact with generative AI that has been built into chat applications. Generative AI applications take in natural language input, and return appropriate responses in a variety of formats including natural language, image, code, and audio.
Microsoft Products: Azure OpenAI Service
What are some of the challenges and risks with AI?
Bias, Errors, bugs, Data Security, Failure, Trust, responsibility.
What is responsible AI?
AI Software development must be guided by the following principles.
1. Fairness
2. Reliability and Safety
3. Privacy and Security
4. Inclusiveness
5. Transparency
6. Accountability
