Core Concepts

A

AI is a subfield of computer science dedicated to creating machines that can perform activities normally requiring human intelligence, such as understanding speech, solving problems, and translating languages.

Core Concepts

Algorithm

Essentially, an algorithm is a set of rule-based instructions that a computer follows to perform a specific task or solve a problem.

Core Concepts

Augmented Intelligence

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"Augmented Intelligence combines human intuition and machine computation power to make more effective decisions. Unlike approaches that seek to replace humans with machines, augmented intelligence aims to provide a synergistic interaction between the two."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">Augmented Intelligence combines human intuition and machine computation power to make more effective decisions. Unlike approaches that seek to replace humans with machines, augmented intelligence aims to provide a synergistic interaction between the two.

Core Concepts

Autonomous

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"If a machine can operate independently without human guidance or intervention, it is considered autonomous."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">If a machine can operate independently without human guidance or intervention, it is considered autonomous.

B

Core Concepts

Bias

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"In machine learning, this refers to the assumptions a model makes to simplify the learning process. Lower bias is often desirable in supervised learning, as these assumptions can hinder performance."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">In machine learning, this refers to the assumptions a model makes to simplify the learning process. Lower bias is often desirable in supervised learning, as these assumptions can hinder performance.

C

Core Concepts

Cognitive Computing

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"Often used interchangeably with artificial intelligence, this term is preferred by some to sidestep the sci-fi connotations that AI may have."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">Often used interchangeably with artificial intelligence, this term is preferred by some to sidestep the sci-fi connotations that AI may have.

Core Concepts

Computational Learning Theory

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"A subfield within AI focused on the formulation and analysis of algorithms used in machine learning."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">A subfield within AI focused on the formulation and analysis of algorithms used in machine learning.

D

Core Concepts

Deep Learning

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"A sophisticated AI technique that enables computers to recognize intricate patterns in data by using multi-layered neural networks. This is particularly useful in tasks such as image and speech recognition, as well as natural language understanding."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">A sophisticated AI technique that enables computers to recognize intricate patterns in data by using multi-layered neural networks. This is particularly useful in tasks such as image and speech recognition, as well as natural language understanding.

E

Core Concepts

Entities

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"These are identifiable real-world elements like individuals, groups, places, or things that can be recognized and extracted from textual data."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">These are identifiable real-world elements like individuals, groups, places, or things that can be recognized and extracted from textual data.

Core Concepts

Explainable AI (XAI)

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"This refers to AI models designed to make their decision-making processes understandable to human users."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">This refers to AI models designed to make their decision-making processes understandable to human users.

G

Core Concepts

General AI

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"Also known as strong AI, this term describes an AI capable of performing any cognitive task that a human can do."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">Also known as strong AI, this term describes an AI capable of performing any cognitive task that a human can do.

Core Concepts

Generative AI

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"This AI subfield concentrates on creating novel content derived from existing data. In a Customer Relationship Management (CRM) setting, generative AI can produce anything from personalized marketing copy to simulated data for strategy testing."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">This AI subfield concentrates on creating novel content derived from existing data. In a Customer Relationship Management (CRM) setting, generative AI can produce anything from personalized marketing copy to simulated data for strategy testing.

H

Core Concepts

Hyperparameter

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"Though sometimes used interchangeably with \"parameter,\" hyperparameters are set manually and influence how the model learns from the data."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">Though sometimes used interchangeably with "parameter," hyperparameters are set manually and influence how the model learns from the data.

I

Core Concepts

Intent

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"In the context of NLP and chatbots, intent refers to the underlying purpose of a given phrase or sentence, such as the desire to reduce volume when someone says, \"turn the volume down.\""}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">In the context of NLP and chatbots, intent refers to the underlying purpose of a given phrase or sentence, such as the desire to reduce volume when someone says, "turn the volume down."

L

Core Concepts

Latent Variables

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"These are unobserved variables inferred from observed data. ChatGPT utilizes latent variable models to better understand and respond to user input."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">These are unobserved variables inferred from observed data. ChatGPT utilizes latent variable models to better understand and respond to user input.

M

Core Concepts

Machine Intelligence

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"A collective term that includes various learning algorithms like machine learning and deep learning."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">A collective term that includes various learning algorithms like machine learning and deep learning.

Core Concepts

Machine Learning

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"A subfield of AI where computers learn from data without being explicitly programmed. Just like a child learns to identify animals from pictures and feedback, machine learning algorithms use labeled data to make accurate decisions and predictions."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">A subfield of AI where computers learn from data without being explicitly programmed. Just like a child learns to identify animals from pictures and feedback, machine learning algorithms use labeled data to make accurate decisions and predictions.

Core Concepts

Multi-modal AI

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"AI systems capable of understanding and processing different forms of inputs, like text, images, speech, and videos."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">AI systems capable of understanding and processing different forms of inputs, like text, images, speech, and videos.

N

Core Concepts

Natural Language Generation (NLG)

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"The computational process of converting structured data into text or speech that is easily understandable by humans."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">The computational process of converting structured data into text or speech that is easily understandable by humans.

Core Concepts

Natural Language Processing (NLP)

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"An AI field that specializes in enabling computers to understand, interpret, and produce human languages."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">An AI field that specializes in enabling computers to understand, interpret, and produce human languages.

Core Concepts

Natural Language Understanding (NLU)

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"A subfield of NLP focused on assisting machines in grasping the implicit meanings in human language, including context and errors."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">A subfield of NLP focused on assisting machines in grasping the implicit meanings in human language, including context and errors.

O

Core Concepts

Overfitting

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"A machine learning issue where a model performs exceptionally well on training data but poorly on new, unseen data."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">A machine learning issue where a model performs exceptionally well on training data but poorly on new, unseen data.

P

Core Concepts

Pattern Recognition

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"The field concerned with detecting regularities and structures within data."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">The field concerned with detecting regularities and structures within data.

R

Core Concepts

Reinforcement Learning

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"A type of machine learning that sets generalized objectives, encouraging the model to explore and experiment with different approaches rather than strictly adhering to pre-defined metrics."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">A type of machine learning that sets generalized objectives, encouraging the model to explore and experiment with different approaches rather than strictly adhering to pre-defined metrics.

S

Core Concepts

Strong AI

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"Research aimed at developing AI with cognitive abilities comparable to human intelligence, often synonymous with General AI."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">Research aimed at developing AI with cognitive abilities comparable to human intelligence, often synonymous with General AI.

Core Concepts

Supervised Learning

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"A learning paradigm where a model is trained on labeled examples, akin to a student learning from a teacher. This method is commonly used in tasks such as image recognition, language translation, and outcome prediction."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">A learning paradigm where a model is trained on labeled examples, akin to a student learning from a teacher. This method is commonly used in tasks such as image recognition, language translation, and outcome prediction.

T

Core Concepts

Token

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"A numerical representation of text, enabling it to be processed by neural networks. Tokens can vary in size, from individual letters to whole words."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">A numerical representation of text, enabling it to be processed by neural networks. Tokens can vary in size, from individual letters to whole words.

Core Concepts

Turing Test

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"A test designed by Alan Turing to assess a machine's ability to mimic human-like behavior and language. A machine passes if its outputs are indistinguishable from human responses."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">A test designed by Alan Turing to assess a machine's ability to mimic human-like behavior and language. A machine passes if its outputs are indistinguishable from human responses.

U

Core Concepts

Unsupervised Learning

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"A learning approach where the model discovers hidden patterns in unlabeled data, similar to solving a puzzle without knowing the final picture."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">A learning approach where the model discovers hidden patterns in unlabeled data, similar to solving a puzzle without knowing the final picture.

V

Core Concepts

Variance

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"The extent to which a machine learning model's intended function changes during the training phase."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">The extent to which a machine learning model's intended function changes during the training phase.

W

Core Concepts

Weak AI

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"Also referred to as narrow AI, weak AI specializes in a limited set of tasks and lacks the ability to learn or execute activities beyond its designated skill set. The majority of existing AI models fall into this category."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">Also referred to as narrow AI, weak AI specializes in a limited set of tasks and lacks the ability to learn or execute activities beyond its designated skill set. The majority of existing AI models fall into this category.

Z

Core Concepts

Zone of Proximal Development (ZPD)

<span data-sheets-root="1" data-sheets-value="{"1":2,"2":"Originally an educational theory, the Zone of Proximal Development refers to the range of tasks that a learner can perform with assistance. In machine learning, the concept is applied when training models on increasingly challenging tasks to enhance their learning capabilities."}" data-sheets-userformat="{"2":899,"3":{"1":0},"4":{"1":2,"2":16777215},"10":1,"11":4,"12":0}">Originally an educational theory, the Zone of Proximal Development refers to the range of tasks that a learner can perform with assistance. In machine learning, the concept is applied when training models on increasingly challenging tasks to enhance their learning capabilities.