Inside AI

⭐ 0 of 10 topics mastered

1. 1A short history of AIAI research began in the 1950s. Big steps came when computers got faster, data got bigger and learning methods improved, leading to today's chatbots.Not triedNotesQuiz
2. 2Algorithms and machine learningIn normal programming a person writes the rules. In machine learning the computer finds the rules itself from examples.Not triedNotesQuiz
3. 3Three kinds of machine learningMachine learning comes in three main kinds: supervised learning (labelled examples), unsupervised learning (finding groups) and reinforcement learning (rewards).Not triedNotesQuiz
4. 4Neural networksA neural network is a machine learning model made of layers of simple connected units. Training adjusts the strength of the connections, called weights.Not triedNotesQuiz
5. 5Training and testing a modelData is split into training, validation and test sets. We measure accuracy and loss, and watch out for overfitting and underfitting.Not triedNotesQuiz
6. 6Computer visionComputer vision is the part of AI that gets information from pictures and videos, by finding patterns in the numbers that make up each image.Not triedNotesQuiz
7. 7Large language models and generative AIGenerative AI makes new text, images or sound. Large language models write text by predicting the next token, one piece at a time.Not triedNotesQuiz
8. 8AI ethicsAI brings benefits but also raises questions of fairness, privacy, truth, ownership, jobs and the environment. People decide how AI is built and used.Not triedNotesQuiz
9. 9Using AI responsiblyUse AI as a helper for learning: write clear prompts, check what it says, be honest about using it, protect your privacy and know when not to use it.Not triedNotesQuiz
10. 10AI and the futureAI is already helping in medicine, science and climate work, and it is creating new careers. People stay responsible for how it is used.Not triedNotesQuiz