>Foundations
What is Machine Learning (ML)?
Machine learning is a type of AI where systems learn patterns from data and improve at a task, instead of being explicitly programmed with rules.
Machine learning is the engine under most modern AI, including the large language models behind Claude and ChatGPT. The model is 'trained' on data and learns to make predictions.
You don't need to build ML models to use AI well — but understanding the idea helps you trust the output appropriately, which is exactly what kenai teaches.
Related terms
Artificial Intelligence (AI) →
Artificial Intelligence (AI) is software that performs tasks normally requiring human intelligence — understanding language, recognising patterns, reasoning and making decisions.
Large Language Model (LLM) →
A Large Language Model (LLM) is an AI system trained on vast amounts of text to understand and generate human language, powering tools like Claude and ChatGPT.
Neural Network →
A neural network is a machine-learning model loosely inspired by the brain, made of layered 'neurons' that learn to recognise patterns in data.