The Essential Artificial Intelligence Glossary for Marketers (90+ Terms)

AI has remodeled the enterprise panorama, and whereas everybody can profit from it, not everybody has the technological background to grasp precisely the way it works and what it does.

This piece is an AI glossary of all of the important phrases and definitions it’s essential to know to totally perceive the know-how you utilize.

Free Report: The State of Artificial Intelligence in 2023

Desk of Contents

  • A, B, C, D, E
  • F, G, H, I, L
  • M, N, O, P, R
  • S, T, U, V, W

Why Synthetic Intelligence Issues for Entrepreneurs

Synthetic intelligence is necessary for entrepreneurs as a result of it could possibly help essential elements of the advertising course of, like search engine optimization analysis, marketing campaign personalization, knowledge evaluation, and content material creation. For instance, a instrument like Marketing campaign Assistant makes use of textual content inputs (additionally known as prompts) to assist entrepreneurs seamlessly and rapidly create copy for touchdown pages, emails, and advert campaigns.

Landing Page without prompt-1Get Began With Marketing campaign Assistant

And, when AI assists with key advertising duties, it additionally saves you time which you can redistribute to specializing in optimizing your campaigns.

Learn via the AI glossary beneath to be taught extra about how the AI instruments you utilize work.

Synthetic Intelligence Phrases Entrepreneurs Must Know


  • Algorithm – An algorithm is a formulation that represents a relationship between variables. In machine studying, fashions use algorithms to make predictions from the information it analyzes. Social media networks have algorithms that use earlier habits on the platform to point out them content material it predicts they’re most certainly to take pleasure in.
  • Synthetic intelligence – Synthetic intelligence is an space of laptop science the place machines full duties that will require intelligence if achieved by a human, like studying, seeing, speaking, reasoning, or problem-solving.
  • Synthetic Normal Intelligence (AGI) – AGI is the second of three phases of AI, the place techniques have intelligence that enables them to be taught and adapt to new conditions, suppose abstractly, and resolve issues on par with human intelligence. We’re at the moment within the first stage of AI, and AGI is especially theoretical. Additionally known as basic intelligence.
  • AI analytics – AI analytics is a kind of study that makes use of machine studying to course of giant quantities of knowledge and establish patterns, traits, and relationships. It doesn’t require human enter, and companies can use the outcomes to make data-driven choices and stay aggressive.
  • AI assistant – An AI assistant, normally a chatbot or digital assistant, makes use of synthetic intelligence to grasp and reply to human requests. It will probably schedule conferences, reply questions, and automate repetitive duties to avoid wasting time and enhance effectivity.
  • AI bias – AI bias is the concept that machine studying techniques will be biased due to biased coaching knowledge, which leads them to supply outputs that perpetuate and reinforce stereotypes dangerous to particular communities.
  • AI chatbot – An AI chatbot is a program that makes use of machine studying (ML) and pure language processing (NLP) to have human-like conversations. AI chatbots are common on web sites, apps, or social media websites to deal with buyer conversations.
  • AI ethics – AI ethics refers to people needing to contemplate the implications of utilizing AI and guaranteeing its use in a method that’s innocent to customers and anybody that interacts with it. As AI is a rising discipline, AI ethics is continually evolving and being researched.
  • Anthropomorphize – Anthropomorphization is when people assign qualities to AI techniques due to how they replicate human talents. It’s one of many the explanation why individuals suppose AI is sentient, however specialists and scientists say that any assumption of human qualities is as a result of fashions do what they’re programmed to do. Enzo Pasquale Scilingo, a bioengineer on the Analysis Heart E. Piaggio on the College of Pisa in Italy, says, “We attribute traits to machines that they don’t and can’t have…As clever as they’re, they can not really feel feelings. They’re programmed to be plausible.”
  • Augmented actuality (AR) – Augmented actuality is layering digital parts onto real-world scenes, letting customers exist of their present house however profit from interactive, augmented parts. Snapchat filters are an instance of AR.
  • Autonomous machine – An autonomous machine can be taught, cause, and make choices with the information it has and with out human intervention. Self-driving automobiles are autonomous machines.
  • Auto-complete – Auto-complete analyzes enter, textual content, or voice and suggests doable following phrases or phrases primarily based on the patterns it learns from analyzing historic knowledge and a person’s language sample and context.
  • Auto classification – Auto classification is categorizing and tagging knowledge primarily based on distinctive classes, making it simpler to arrange, handle, and retrieve info.


  • Bard – Bard is Google’s conversational AI that runs on LaMDA (language mannequin for dialogue purposes). It’s just like ChatGPT however has added performance to drag info from the web.
  • Bayesian community – Bayesian community is a likelihood mannequin that estimates the likelihood of an occasion occurring. AI will help create Bayesian networks as it could possibly consider knowledge at a big pace.
  • BERT – Bidirectional Encoder Representations from Transformers (BERT) is Google’s deep studying mannequin designed explicitly for pure language processing duties like answering questions, analyzing sentiment, and translation.
  • Bing Search – Bing Search is Microsoft’s machine studying search instrument that makes use of neural networks to grasp immediate inputs, floor probably the most related outcomes, and produce solutions. It will probably additionally produce new text-based content material and pictures.
  • Bots – Bots, typically known as chatbots, are text-based applications that people use to automate duties or search info. Bots will be rule-based and solely capable of full pre-defined duties or have extra advanced performance.


  • Chatbot – A chatbot simulates human conversations on-line by answering frequent questions or routing individuals to the proper sources to resolve their wants.
  • ChatGPT – ChatGPT is a conversational AI that runs on GPT, a language mannequin that makes use of pure language processing to grasp textual content prompts, reply questions or generate content material.
  • Cognitive Science – Cognitive science research the thoughts and its processes. Synthetic intelligence is an utility of cognitive science that applies techniques of the thoughts (like neural networks) to machine fashions.
  • Composite AI – Composite AI combines totally different AI applied sciences and methods and makes them work collectively to resolve issues and deal with advanced duties.
  • Pc imaginative and prescient – Pc imaginative and prescient is deep studying fashions analyzing, decoding, and understanding visible info, particularly photographs and movies. Reverse picture search is an instance of laptop imaginative and prescient.
  • Conversational AI – Conversational AI is know-how that mimics a human conversational type and might have logical and correct conversations. It makes use of pure language processing (NLP) and pure language technology (NLG) to collect context and reply in a related method.


  • Information mining – Information mining is discovering patterns, relationships, and traits to attract insights from giant knowledge units. It’s accelerated with machine studying algorithms that may full the method at a a lot sooner fee. A advice algorithm is knowledge mining, analyzing a big quantity of consumer knowledge to present suggestions.
  • Deep studying – Deep studying is an AI course of the place computer systems be taught from knowledge and use understanding to create neural networks that replicate the human mind.
  • DALL-E – DALL-E is OpenAI’s generative system that makes use of detailed pure language prompts to create photographs and artwork.


  • Emergent habits – Emergent habits is when AI completes duties or develops expertise it wasn’t constructed or programmed to do.
  • Entity annotation – Entity annotation is a pure language processing strategy of classifying knowledge into predefined classes (like a person’s title) to make it simpler to research, perceive, and set up info. Additionally known as entity extraction.
  • Knowledgeable techniques – An professional system replicates human specialists’ decision-making talents in a selected discipline.
  • Explainable AI (XAI) – Explainable AI will help people perceive the way it works and why it makes choices or predictions. Understanding the machines we use will increase belief, accountability, and the ethics of utilizing AI outputs in day-to-day life.


  • Function engineering – Function engineering is choosing particular options from uncooked knowledge so a system is aware of what to be taught when coaching.
  • Function extraction – Function extraction is when a machine breaks enter down into particular options and makes use of these options to categorise and perceive it. In picture recognition, a selected factor of a picture will be outlined as a function, and the function is used to foretell the probability of what a whole picture could be.


  • Generative AI – Generative AI processes prompts by figuring out patterns and utilizing these patterns to supply an output that aligns with its preliminary studying, like a solution to a query, textual content, photographs, audio, video, code, and even artificial knowledge.
  • Normal Intelligence – Normal intelligence is the second of the three phases of AI. See Synthetic Normal Intelligence (AGI).
  • GPT – Generative Pre-trained Transformer (GPT) is OpenAI’s language mannequin that’s educated on giant quantities of knowledge and, from its coaching, can perceive pure language inputs to reply questions, have human-like conversations, and produce content material. GPT-4 is the most recent and most superior iteration of GPT.


  • Hallucination – Hallucination is when AI produces factually incorrect outputs and data.


  • Picture recognition – Picture recognition is a machine studying course of that makes use of algorithms to establish objects, individuals, or locations in photographs and movies. Google Lens is an instance of picture recognition. Additionally known as Picture classification.


  • Giant Language Mannequin (LLM) – A LLM is educated on a big historic knowledge set and makes use of its information to finish a selected job(s). GPT and LamDA are language fashions.
  • Language Mannequin for Dialogue Purposes (LamDA) – LamDA is Google’s giant language mannequin that may have sensible conversations with people, give correct responses, and produce new content material.
  • Restricted reminiscence AI – Restricted reminiscence AI is the second of 4 kinds of AI, and these techniques are solely capable of full duties primarily based on a small quantity of saved knowledge and might’t lengthen their talents past that. It additionally doesn’t retain any earlier recollections to be taught from when finishing future duties.


  • Machine Studying – Machine studying is a kind of synthetic intelligence the place machines use knowledge and algorithms to make choices and predictions and full duties. Machine studying techniques get higher and extra correct over time because it has new experiences and knowledge to be taught from.
  • Midjourney – Midjourney is a generative AI mannequin that may produce new photographs from pure language prompts.


  • Slim AI – Slim AI is a system designed to carry out a selected job or set of duties however can’t adapt to do something past that. It’s the primary of three phases of AI, and most techniques at this time are slender AI. Additionally known as weak AI and slender intelligence.
  • Pure Language Processing (NLP) – Pure language processing is a machine’s potential to grasp and interpret language (each spoken and written) and use the understanding to have conversational experiences. Spell examine is a primary instance, and language fashions are a extra superior kind. Additionally known as pure language understanding (NLU).
  • Pure Language Era (NLG) – Pure language technology is when a mannequin processes language and makes use of its understanding to precisely full a job, whether or not it’s answering a query or creating a top level view for an essay.
  • Pure Language Question (NLQ) – A pure language question is a written enter that seems as it will if mentioned aloud, which implies no particular characters or syntax.
  • Impartial networks – In relation to AI, a neural community is a computerized replication of a human mind’s neural community that lets a system develop information and make predictions in a similar way to the human mind.


  • OpenAI – OpenAI is a synthetic intelligence analysis laboratory that created GPT, DALL-E, and different AI instruments.


  • Sample recognition – Sample recognition is a machine’s potential to acknowledge patterns in knowledge primarily based on the algorithms it developed throughout coaching.
  • Predictive analytics – In AI, predictive analytics makes use of algorithms to foretell the probability of a future prevalence primarily based on patterns in historic knowledge.
  • Prompts – A immediate is a pure language enter given to a mannequin. Prompts will be questions, duties to finish, or an outline of the kind of content material a consumer needs AI to create. A easy definition is an instruction that prompts a mannequin to do one thing.
  • Immediate engineering – Immediate engineering is determining the proper phrases and phrases that assist generative techniques align with the enter’s actual intent. So, for instance, determining the very best phrases to make use of to have AI write precisely what you’re on the lookout for.


  • Reactive machines – Reactive machines are the second of 4 kinds of AI, and these techniques don’t have any reminiscence or understanding of context and might solely full a selected job. Rule-based chatbots are reactive machines. Additionally known as reactive AI.
  • Reinforcement studying – Reinforcement studying is a machine studying course of the place techniques be taught and proper themselves via a trial and error.
  • Accountable AI – Accountable AI is deploying AI in methods which might be moral and with good intentions to not perpetuate biases and dangerous stereotypes.
  • Robotics – Robotics is the design of robots that may carry out duties and take motion due to programmed AI with out human steerage.


  • Self-aware AI – Self-aware AI is the fourth of the 4 kinds of AI. It’s an extra evolution of idea of thoughts AI, and machines can perceive human feelings and have their very own feelings, wants, and beliefs. Sentient AI is self-aware AI and, in the intervening time, is a theoretical idea.
  • Semantic evaluation – Semantic evaluation is machines drawing that means from info inputs. It’s just like pure language processing however can account for extra advanced elements, like cultural context.
  • Sentiment evaluation – Sentiment evaluation is the method of figuring out emotional alerts and queues from textual content to foretell an announcement’s general sentiment.
  • Sentient AI – Sentient AI feels and has experiences on the identical degree as people. This AI is emotionally clever and might understand the world and switch perceptions into emotions.
  • Structured knowledge – Structured knowledge is organized knowledge that machine studying algorithms can simply perceive.
  • Supervised studying – Supervised studying is when people oversee the machine studying course of and provides particular directions for studying and anticipated outcomes.
  • Synthetic superintelligence (ASI) – ASI is the third and most superior stage of AI, the place techniques can resolve advanced issues and make choices past the talents of human intelligence. It’s a scorching subject for debate as its potential and dangers are purely speculative. Additionally known as Tremendous AI, Robust AI, and superintelligence.
  • Steady diffusion – Steady diffusion is a generative mannequin that creates photographs from detailed textual content descriptions (prompts).
  • Singularity – Singularity is a hypothetical future in synthetic intelligence the place techniques expertise uncontrolled progress and take actions that may considerably affect human life. Carefully associated to superintelligence and sentient AI.


  • Principle of thoughts AI – Principle of thoughts AI is the third evolution of the 4 kinds of AI, and it’s a complicated class of know-how that may perceive the psychological states of people and use that information to have actual interactions. For instance, a system that understands the feelings of a disgruntled buyer can use that information to reply accordingly.
  • Token – A token is a single piece of knowledge {that a} language mannequin makes use of to make sense of enter and make a prediction. A token could be a single phrase, characters in a string of phrases, subwords, or single options inside visible info.
  • Coaching knowledge – Coaching knowledge is what a machine is given to be taught from to finish its future duties.
  • Switch studying – Switch studying is a machine studying method the place a pre-trained mannequin is used as the start line for a brand new job.
  • Turing Take a look at – Alan Turing invented the Turing Take a look at in 1950 to measure if a machine’s degree of intelligence allowed it to carry out in a method that’s indistinguishable from human efficiency. It was initially known as the imitation sport.


  • Unsupervised studying – Unsupervised studying is when a system is left to seek out patterns and draw conclusions and insights from knowledge with out human enter. It’s the alternative of supervised studying.


  • Digital actuality (VR) – VR is any software program that immerses customers in a three-dimensional, interactive digital surroundings utilizing a sensory gadget.


  • Weak AI – see Slim AI. 

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