AI Vocabulary Practice

The use of math, computer science, and cognitive science to mimic human behavior through various technologies. At present, all AI is narrow, or task-specific (AI Guide for Government, 2024).

• Artificial General Intelligence

• Generative AI

• Artificial Intelligence

• Machine Learning

• The use of AI to create, or generate, content in response to a prompt inputted by the user.

• Generative AI

• AGI

• AI

• Data Science

The general ability to reason, think, and perceive as humans do when presented with complex situations. This is currently not possible with AI (AI Guide for Government, 2024).

• Machine Learning

• Data Science

• Supervised Learning

• Artificial General Intelligence

The field and practice of using algorithms that can “learn” by extracting patterns from a large body of data–includes supervised learning, unsupervised learning, and reinforcement learning (AI Guide for Government, 2024).

• Deep Learning

• Artificial Intelligence

• Machine Learning

• Large Language Model

Match the following

• Reinforcement Learning

• Deep learning is a subset of machine learning that uses multi-layered neural networks, called deep neural networks, to simulate the complex decision-making power of the human brain. Some form of deep learning powers most of the artificial intelligence (AI) in our lives today (IBM, 2024b)

• Unsupervised Learning

• The process where we train computers to identify similarities and differences in specific data sets.

• Deep Learning

• The process where we provide computers with a range of data and allow them to identify patterns without any specific instructions.

• Supervised Learning

• A software training technique where the software makes decisions to achieve the best results. This mimics trial-and-error learning.

The practice and methodology of implementing analytics or machine learning techniques, with subject matter expertise, to provide insights that lead to actions (AI Guide for Government, 2024).

• Large Language Model

• Reinforcement Learning

• Computer Vision

• Data Science

_________________________________ Is a statistical language model, trained on a massive amount of data, that can be used to generate and translate text and other content, and perform other natural language processing (NLP) tasks (Google Cloud, 2024).

• Deep Learning

• Chat GPT

• Large Language Model

• Reinforcement Learning

______________ is a machine-learning technology that gives computers the ability to interpret, manipulate, and comprehend human language (AWS, 2024).

• Natural Language Processing

• Large Language Models

• Robotics

• Supervised Learning

AI-powered robots are augmented with a variety of sensors (including vision devices such as 2D/3D cameras, vibration sensors, proximity sensors, accelerometers, and other environmental sensors) that feed them with sensing data they can analyze and act upon in real-time (Intel, 2024).

• Computer Vision

• Data Science

• Robotics

• Artificial General Intelligence

• is a field of artificial intelligence (AI) that uses machine learning and neural networks to teach computers and systems to derive meaningful information from digital images, videos and other visual inputs—and to make recommendations or take actions when they see defects or issues. 

• Generative AI

• Data Science

• Robotics

• Computer Vision