General AI Industry Terms 

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Below we aim to compile helpful definitions from a range of industry sources. We'll continue to update the glossary and hope it provides a foundation for understanding.

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Overview 

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Artificial Intelligence (AI) 

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• “Is a term coined in 1955 by John McCarthy, Stanford’s first faculty member in AI, who defined it as “the science and engineering of making intelligent machines.”  - Stanford University Human Centered Artificial Intelligence 

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• “It’s basically a super-smart computer system that can imitate humans… it’s artificial in that its intellect was created by humans using technology… they are not physical machines or robots –  they’re programs that run on computers.” – Microsoft 

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• “The capability of computer systems or algorithms to imitate intelligent human behavior.” Merriam-Webster 

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• "Artificial Intelligence (AI) is defined as the simulation of human intelligence processes by computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI also involves the development of algorithms and systems that can perform tasks that would normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.” - ChatGPT 

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Large Language Models (LLMs) 

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• “A language model that utilizes deep methods on an extremely large data set as a basis for predicting and constructing natural-sounding text.” - Merriam Webster Dictionary 

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• LLMs use machine learning techniques to help them process language so they can mimic the way humans communicate… they are trained on a massive amount of text to learn patterns and relationships in language that help them use human words.” - Microsoft 

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• “A large language model (LLM) is a type of artificial intelligence (AI) system designed to understand, generate, and manipulate human language … with applications ranging from chatbots and virtual assistants to automated content creation and language translation.” - ChatGPT 

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Machine Learning 

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• “A computational method that is a subfield of artificial intelligence and that enables a computer to learn to perform tasks by analyzing a large dataset without being explicitly programmed." - Merriam Webster Dictionary 

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• “Is the part of AI that studies how computer systems can improve their perception, knowledge, decisions, or actions based on experience or data. For this, ML draws from computer science, statistics, psychology, neuroscience, economics, and control theory” - Stanford University Human Centered Artificial Intelligence 

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Neural Networks 

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• “A computer architecture in which a number of processors are interconnected in a manner suggestive of the connections between neurons in a human brain and which is able to learn by a process of trial and error.”  - Merriam Webster Dictionary 

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• ​​”A neural network is a computational model inspired by the way biological neural networks in the human brain process information. It consists of interconnected layers of nodes (also called neurons), where each connection has an associated weight. Neural networks are used to recognize patterns, make predictions, and perform various tasks in machine learning and artificial intelligence.” -  ChatGPT 

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• “Neural networks, or NNs, which are computing systems inspired by the human brain - sort of like a bunch of nodes and connections that simulate neurons and synapses. “  - Microsoft 

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Generative AI (GenAI)

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• “Generative AI leverages the power of large language models to make new things, not just regurgitate or provide information about existing things. It learns patterns and structures and then generates something that’s similar but new.” - Microsoft 

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• “Artificial intelligence that is capable of generating new content (such as images or text) in response to a submitted prompt (such as a query) by learning from a large reference database of examples.” - Merriam Webster Dictiona

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• "Generative AI refers to artificial intelligence systems designed to create new content, such as text, images, audio, or other media, that mimics the style and context of existing data. These systems use machine learning models, often based on deep learning techniques like neural networks, to generate new data that is similar to the input they were trained on." - ChatGPT

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Model Creativity Score 

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"A model creativity score is a metric used to evaluate the creative performance or output of an artificial intelligence (AI) model, especially in tasks that involve generating content, such as text, images, music, or other forms of art. This score helps in assessing how well the model can produce novel, interesting, and diverse outputs. The concept of a model creativity score can vary depending on the context and the specific criteria used for evaluation, but it generally includes the following components:

1. Novelty: Measures how unique or original the output is compared to existing data or previous outputs. High novelty indicates that the model can produce new and unexpected results.
2. Diversity: Assesses the range of different outputs generated by the model. A model with high diversity can produce a wide variety of outputs, reducing redundancy and enhancing creativity.
3. Quality: Evaluates the overall quality and coherence of the generated content. Even creative outputs should meet certain standards of relevance, correctness, and aesthetic appeal.
4. Inspiration: For models generating artistic or literary content, this can involve how well the output evokes emotions or conveys messages.
5. Usability: In practical applications, it also includes how useful or applicable the creative output is in real-world scenarios.

The model creativity score is typically calculated using a combination of quantitative metrics and qualitative assessments, often involving human judges to provide subjective evaluations. It is an important measure for improving and fine-tuning generative models to produce high-quality, innovative content. "

- ChatGPT 

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Sources: 

https://news.microsoft.com/10-ai-terms/

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https://hai.stanford.edu/sites/default/files/2023-03/AI-Key-Terms-Glossary-Definition.pdf

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https://www.merriam-webster.com/

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