Artificial Intelligence (AI)
Technology that enables machines to perform tasks that typically require human intelligence, like understanding language and images, or making recommendations and decisions.
Machine Learning (ML)
A branch of AI where computers learn from data and improve their performance over time without being explicitly programmed to do so.
Deep Learning
An advanced type of machine learning that uses neural networks to learn from large amounts of data.
Neural Network
A computer system inspired by the human brain that helps machines with many problems, including image recognition, natural language processing, and speech recognition.
Algorithm
A set of rules for a computer to follow to help solve a problem or complete a task.
Model
A program that’s been trained on a set of data to recognise patterns or make decisions without human intervention.
Training Data
The information used to teach a model how to make predictions or decisions.
Dataset
An array of data used for training and testing AI systems.
Supervised Learning
A method where the AI is trained on labelled data, meaning the correct answers are already known.
Unsupervised Learning
AI learns patterns from data without any labels or predefined answers.
Reinforcement Learning
AI learns by trial and error, receiving rewards or penalties for the outcomes of its actions.
Natural Language Processing (NLP)
AI that understands and works with human language such as chatbots and virtual assistants.
Prompt
The instruction or question you give to an AI (like ChatGPT) to get a response.
Generative AI
AI that can create new content such as text, images, music, or video.
Large Language Model (LLM)
An AI system trained on large amounts of text to understand and generate language.
Hallucination (in AI)
When an AI makes up false information but presents it as fact.
Overfitting
When an AI model learns from the training data too much, and doesn’t perform as well on new data.
Bias (in AI)
When an AI system makes unbalanced decisions due to biased data or flawed algorithm design.
Chatbot
An AI tool that can have text-based conversations with users.
Voice Assistant
An AI that responds to spoken commands, like Siri and Alexa.
Synthetic Data
Artificially generated data used for training when real-world data is limited.
Data Labeling
Tagging data with information so AI can learn from it, like tagging images as ‘cat’ and ‘dog.
Open Source AI
AI tools that are freely available for anyone to use.