- Artificial Intelligence (AI)
- Technology that enables software to exhibit human-like behaviors such as perception, reasoning, and decision-making.
- Machine Learning (ML)
- A branch of AI where algorithms learn patterns from data to make predictions or decisions without being explicitly programmed with rules.
- Deep Learning
- A subset of machine learning that uses multi-layered neural networks to model complex patterns in large volumes of data.
- Neural Network
- A computing structure loosely inspired by the brain, composed of layers of interconnected nodes that learn to map inputs to outputs.
- Classification
- A supervised machine learning task that assigns input data to one of a set of predefined categories.
- Clustering
- An unsupervised machine learning task that groups similar data points together without predefined labels.
- Computer Vision
- The AI field concerned with enabling machines to interpret and understand information from images and video.
- Object Detection
- A computer vision task that locates and classifies multiple objects within an image, typically using bounding boxes.
- Optical Character Recognition (OCR)
- Technology that extracts printed or handwritten text from images and documents into editable, machine-readable text.
- Natural Language Processing (NLP)
- The AI discipline focused on enabling computers to understand, interpret, and generate human language.
- Sentiment Analysis
- An NLP technique that classifies text according to its expressed emotional tone, such as positive, negative, or neutral.
- Named Entity Recognition (NER)
- An NLP capability that detects and classifies entities such as people, organizations, locations, and dates within text.
- Generative AI
- AI that produces new content — text, images, audio, or code — by learning the patterns of large training datasets.
- Large Language Model (LLM)
- A deep learning model trained on vast text corpora that can understand context and generate coherent human-like language.
- Prompt Engineering
- The practice of crafting and refining input prompts to guide a generative AI model toward more accurate or useful outputs.
- Hallucination
- An AI-generated output that appears plausible but is factually incorrect or fabricated, not grounded in real source data.
- Responsible AI
- A framework of principles — fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability — guiding the ethical development of AI systems.
- Microsoft Foundry
- Microsoft's platform for discovering, customizing, orchestrating, and deploying AI models and agents, including a curated model catalog.
- Agentic AI
- AI systems capable of autonomously planning and executing multi-step actions or tool calls to achieve a goal with minimal human oversight.
- Multi-modal AI
- AI that can process and reason over more than one type of input, such as text, images, and audio, within a single model or system.
- Bounding Box
- A rectangular region drawn around a detected object in an image, used in computer vision to indicate the object's location.