A

Algorithm: A set of step-by-step instructions for a computer to solve a problem or complete a task, like a recipe for a computer.

Artificial Intelligence: AI is the simulation of human intelligence in machines that are programmed to think and learn like humans.

Artificial General Intelligence (AGI): A type of computer intelligence that can understand, learn, and apply knowledge in a way that's aims to be as versatile and capable as a human being.

B

Bias within AI Systems: When an AI system shows unfair preferences or prejudices, often because of the way it is programmed or the data it uses. 

Big Data: A term for extremely large sets of digital data that are used to find patterns, trends, and insights.

C

Chatbot: A computer program designed to “talk” (or chat!) with people, often used for customer service or to provide information.

Computer Model: A computer program that simulates a real-world process or situation in order to predict outcomes or understand how things work.

D

Deep Learning for Computers: A process where artificial neural networks, inspired by the structure and function of the human brain, learn from large amounts of data to perform complex tasks without being explicitly programmed for those tasks.

F

Floating-Point Operations Per Second (FLOPS): A measure of how fast a computer can perform complex calculations. Higher FLOPS means a faster, more powerful computer.

G

Generative AI: Artificial intelligence that can produce new content, e.g. write text, compose music, or create images, based on provided prompts and input. 

GPTs (Generative Pre-trained Transformers): A series of advanced AI models designed for understanding and generating human language. These models, like GPT-4, are trained on vast amounts of text to assist in tasks such as conversation, writing, and answering questions.

Graphic Processing Units (GPUs): Specialized computer chips originally designed for video games, but now also used to speed up AI tasks.

H

Hallucination in Chatbots: When a chatbot generates incorrect or nonsensical information, as it sometimes misunderstands or misinterprets data.

L

Large Language Model (LLM): A sophisticated AI system trained on vast amounts of text to understand and generate human language.

M

Machine Learning: A process where artificial intelligence “learns” and improves from experience without being explicitly programmed for each task.

Meta-Prompting: The use of prompts to obtain prompts.  

Model: In the context of artificial intelligence, a model refers to a computer program that is trained to perform specific tasks by recognizing patterns in data. It is essentially an algorithm that has been trained on a set of data to make predictions, decisions, or perform a certain kind of processing based on input it receives.

N

Neural Network: A computer system designed to mimic the human brain's way of processing information, used in AI for tasks like recognizing patterns and making decisions.

P

Parameters: Settings or factors that are used to control and adjust the performance of a computer model or algorithm.

Prompts: Instructions or questions given to an AI system or a computer program to generate a response or result.

T

Tokens (in LLM Models): Small pieces of data, like words or parts of words, that Large Language Models use to understand and generate language.

Transformers (in LLM Models): A technology in AI that helps computers understand the context of language, improving how they process and generate text.

Train (AI Model): When you train an AI model it is like teaching someone how to do a task. Imagine showing someone many examples of something, like different kinds of animals, and then helping them learn to identify each type. In AI, training involves showing the computer lots of examples (like pictures, texts, or numbers) so it can learn to recognize patterns and make decisions based on the data entered into the AI model.

Z

Zero-Shot Learning: When an AI model is given new data it hasn’t previously been trained on. For example, if a model has only been trained on sharks, and is then given a picture and description of a whale.