• Terminologies

    Speak the language of the future education

What is artificial intelligence?

According to Britannica, “Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.” (Link)

Artificial Intelligence (AI) is good at helping people solve routine challenges. A dominant technique in developing effective AI is Machine Learning (ML). ML is used to develop AI by getting computers to do something without being programmed with super-specific rules. ML can help machines recognize patterns and adjust to unique situations, like providing translation services in a variety of languages.

What is Generative AI?

According to a report from McKinsey, “Generative artificial intelligence (AI) describes algorithms (such as ChatGPT) that can be used to create new content, including audio, code, images, text, simulations, and videos.” (Link)

Generative AI can be used meaningfully by teachers and students in many ways. For example, Generative AI can also be used to create personalized learning experiences for students. By analyzing student data such as their learning style and performance history, generative AI can create customized learning materials that are tailored to each student’s individual needs.

List of Terminologies

Artificial Intelligence (AI) – a subfield of computer science that aims to develop machines and systems capable of performing tasks that typically require human intelligence

Machine Learning – a field of artificial intelligence that focuses on enabling computers to learn from data and improve their performance on specific tasks without being explicitly programmed

Deep learning – a subfield of machine learning that uses artificial neutral networks, and can learn and understand complex patterns in data, allowing it to make accurate predictions or decisions about new data

Three types of AI

Artificial Narrow Intelligence (ANI) – AI systems that are designed to perform a specific task or a narrow range of tasks, focused on solving specific problems and is not capable of generalising or applying its knowledge to other areas

Artificial General Intelligence (AGI) – AI systems that possess the ability to understand, learn, and apply knowledge in a way that is comparable to human intelligence across a wide range of tasks, replicating the cognitive abilities of humans

Artificial Super Intelligence (ASI) – a hypothetical future state of AI that surpasses human intelligence in virtually every aspect, possessing cognitive abilities beyond human capabilities

*Currently, we are in the stage of ANI. AGI and ASI remain as areas being researched and hypothesised.

Generative Artificial Intelligence (GenAI) – a subset of AI that involves creating or generating new content, such as texts, images, videos, or music. GenAI models are trained to generate new data which resembles patterns and characteristics of the data it was trained on.

Copyright © 2023 TALIC. All Rights Reserved.