AI Workloads and considerations Flashcards
Principle for responsible AI
Fairness Reliability and Safety Privacy and security Transparency Inclusiveness Accountability
Key elements of Microsoft AI
Machine Learning Anomaly detection Computer Vision NLP Conversational AI
Parts of supervised ML
Regression
Classification
Parts of unsupervised ML
Clustering
types of Compute resources you can use in ML studio
Compute Instance
Compute Clusters
Inference Clusters
Attached Compute
Asynchronous service for text recognition
Read API
Synchronous service for Text recognition
OCR API
Text Analytics is part of NLP or Computer Vision?
is part of NLP
four types of entities you can create during authoring of LUIS
Machine Learned
List
RegEx
Pattern.any
What information you need to provide to developers to use a Custom Vision model?
Prediction Endpoint
Prediction Key
Model Name
Project ID
why should I use Language (within Cognitive Services) instead of Text Analytics, LUIS or QnA Maker?
Language represents a commitment to provide you with the latest natural language capabilities. It consolidates familiar capabilities previously available in Text Analytics, QnA Maker, and LUIS into a unified service. Use these capabilities in a single convenient SDK by creating a Language service resource.
How many Principle for responsible AI?
6
How many key elements of Microsoft AI?
5