| AI | AI is how we teach computers to solve problems by themselves, and mimic human intelligence. |
| Machine Learning | is a field of AI that builds methods to teach computers to 'learn', and identify patterns in data. |
| Deep Learning | Area of Machine Learning by the human brain. They recognize patterns the way we do: perceive something, think about it and draw a conclusion from it. |
| Reinforcement Learning | This is when AI is given a reward for performing well. This tells it how to win in a game and helps the AI understand what it should do. |
| Models | Mathemtical model that takes in specific data and outputs a prediction |
| Training | Process of teaching a computer to identify patterns in data |
| Large Language Models | Large language models are models with, trained on enormous amounts of text data. They are excellent at generalizing their findings. |
| Zero Shot Learning | When a model does its job (text generation or prediction) without any context for the desired output. |
| Few Shot Learning | When a model receives a bit of conteext in the form of examples for the desired output |