Any intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. These machines use mathematical models that identify and encode patterns in data sets, which can then perform predictions on new situations which the machines haven’t encountered before.
When artificial intelligence software utilizes existing content to predict, modify or create text based on input that a user supplies. Certain tools may create novel bodies of text, while others may reword existing text, in the case of AI paraphrasing tools.
Text created by artificial intelligence based on vast amounts of data of existing content from the Internet.
AI paraphrasing refers to the use of AI techniques to rephrase or rewrite a given piece of text in a way that preserves the original meaning of the text while using different words and phrases.
A set of instructions or computations that a machine follows in order to learn how to do a particular task.
When something–in this case, a machine–can perform a task without human interference or intervention.
A program designed to help human users with simple tasks and communicate via voice or text commands in order to feel like a human-to-human conversation.
ChatGPT (short for Chat Generative Pre-trained Transformer) is a chatbot launched by OpenAI in November 2022. It is a Large Language Model with both supervised and reinforcement learning techniques. ChatGPT can produce a body of unique text from a user’s specific input based on existing content from the internet.
The broader form of study that includes AI in addition to philosophy, linguistics, psychology, neuroscience and anthropology. All of these together seek to understand how the mind functions and, when applied to AI, how machines can simulate human thought and action.
Launched by OpenAI in January 2021, DALL-E 1 an AI that generates images based on text and belongs to a family of AI called Diffusion Models. In 2022, it was superseded by DALL-E 2.
Related data points in a collection, usually with tags (labels) and a uniform order.
A family of Artificial Intelligence architectures that uses neural networks to encode information, resulting in state-of-the-art performance across a wide array of tasks. Generative AI models are typically examples of Deep Learning.
Models that are trained on a broad set of unlabeled data that can be used for different tasks, with minimal fine-tuning.
Sometimes referred to as “strong AI” (although not entirely equivalent), general AI is artificial intelligence that could successfully do any intellectual task that can be done by a human being.
Generative AI is a broad label that's used to describe any type of artificial intelligence that uses learning algorithms to create new digital images, video, audio, text or code.
Artificial intelligence that has been trained on massive quantities of text data to produce human-like responses to natural language inputs.
An overarching term for different types of learning algorithms, including machine learning and deep learning.
A subset of AI that is specifically focused on developing algorithms that will help machines to learn and change in response to new data, without the help of a human being.
Technology that allows machines to determine–via text or voice–what humans are saying.
An Artificial General Intelligence (AGI) research and deployment company based in San Francisco, California (USA), seeking to develop and build AGI that benefits all of humanity. Their most recent releases include ChatGPT and DALL-E 2.
A machine learning training method based on rewarding desired behaviors and/or punishing undesired ones.
This field of research is focused on developing AI that is equal to the human mind when it comes to ability. General AI is a similar term often used interchangeably.
An approach to creating artificial intelligence where a computer algorithm is trained on input data that has been labeled for a particular output.
Also known as AI paraphrasing tools, these are software tools that are used to automatically rewrite or rephrase a given piece of text in order to generate multiple variations of the original text.
A test that examines a machine’s ability to pass for a human, specifically in language and behaviour. A machine can pass this test if, after being graded by a human, its performance is indistinguishable from that of human participants. This test is named after Alan Turing (1912-1954), a notable English mathematician, computer scientist and logician.
The use of AI algorithms to identify patterns in data sets containing data points that are neither classified nor labeled.
List of 13 key AI terms to know, curated by Caltech.
An incomplete list of terms related to AI used for research and writing.
A comprehensive glossary of 50 terms for AI and machine learning beginners.
AIPRM’s Ultimate Generative AI GlossaryFrom students to professionals, this resource is designed to empower every reader with a solid and clear understanding of the critical concepts that drive generative AI.
Campbell, Audrey. “AI terms + education: A glossary of what you need to know”. Turnitin, 6 Feb. 2024, https://www.turnitin.com/blog/ai-terms-education-a-glossary-of-what-you-need-to-know.
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