Alt Text (alt) - A short piece of usually hidden text that is associated with a digital image on the Internet for accessibility and searchability. 

Artificial Intelligence (AI) - The capacity of computers or other machines to exhibit or simulate intelligent behavior; the field of study concerned with this. Software used to perform tasks or produce output previously thought to require human intelligence, esp. by using machine learning to extrapolate from large collections of data. 

Bias - Tendency to favor or dislike a person or thing, especially as a result of a preconceived opinion, partiality, or prejudice. A common problem in AI in which an algorithm produces results that are skewed towards certain groups or individuals, often due to the quality or quantity of the data used to train it.

Computer Science - The branch of knowledge concerned with the construction, programming, operation, and use of computers. 

Convolutional Neural Networks (CNNs) - A deep learning class of neural networks with one or more layers used for image recognition and processing.

Deep Learning Model - Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. In other words, deep learning models can learn to classify concepts from images, text or sound.

Explainable AI (XAI) - An AI approach where the performance of its algorithms can be trusted and easily understood by humans. Unlike black-box AI, the approach arrives at a decision and the logic can be seen behind its reasoning and results.

Generative AI (GenAI) - AI techniques that learn from representations of data and model artifacts to generate new artifacts.

Latent Space  or Embedding Space - A set of data structures in a large language model (LLM) of a body of content where a high-dimensional vector represents words. This is done so data is more efficiently processed regarding meaning, translation and generation of new content.

Machine Learning (ML) - Machine learning is the study of computer algorithms that can improve automatically through experience and the use of data. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as “training data,” in order to make predictions or decisions without being explicitly programmed to do so. In NLP, ML-based solutions can quickly cover the entire scope of a problem (or, at least of a corpus used as sample data), but are demanding in terms of the work required to achieve production-grade accuracy.

Natural Language Processing (NLP) - A subfield of artificial intelligence and linguistics, natural language processing is focused on the interactions between computers and human language. More specifically, it focuses on the ability of computers to read and analyze large volumes of unstructured language data (e.g., text).

Recurrent Neural Networks (RNNs) - A neural network model commonly used in natural language process and speech recognition allowing previous outputs to be used as inputs.

Robotics - The technology or science of the design, construction, operation, and use of robots and similar automatic devices. 

Supervised Learning - An ML algorithm in which the computer is trained using labeled data or ML models trained through examples to guide learning.

Training Data or Data Set - The collection of data used to train an AI model.

sources: Oxford English Dictionary and ExpertAI

“A robot reading in a library, steampunk style” prompt, Gencraft, 26 Aug. 2024, https://gencraft.com/generate