AI Bible

A type of AI that has the ability to understand, learn, and apply its intelligence to a wide range of problems, much like a human brain.

The simulation of human intelligence processes by machines, especially computer systems.

Pre-existing, often unconscious beliefs that can influence the decision-making process in AI systems.

A type of machine learning that uses neural networks with many layers (hence “deep”) to analyze various factors with a structure similar to the human brain.

A large language model (LLM) is an AI model that has been trained on large amounts of text so that it can understand language and generate human-like text.

A subset of AI that enables computers to learn from and make decisions based on data.

A branch of AI that focuses on the interaction between computers and humans through language.

A computational model inspired by the human brain’s neural structure, used in machine learning and deep learning.

A set of rules or steps for a computer to follow in calculations or problem-solving.

A software application used to conduct an on-line chat conversation via text or text-to-speech, in lieu of providing direct contact with a live human agent.

An AI field that trains computers to interpret and understand the visual world.

The process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.

A prompt is an input that a user feeds to an AI system in order to get a desired result or output.

Extremely large data sets that can be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.

A form of many-valued logic in which the truth values of variables may be any real number between 0 and 1, often used in AI to handle uncertain or vague data.

A class of machine learning systems where two neural networks compete with each other to become more accurate in their predictions.

Refers to restrictions and rules placed on AI systems to make sure that they handle data appropriately and don’t generate unethical content.

The use of data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data.

A type of machine learning where an agent learns to behave in an environment by performing actions and seeing the results.

A type of Machine Learning that uses a combination of a small amount of labeled data and a large amount of unlabeled data for training.

A type of Machine Learning where the model is provided with labeled training data.

A type of Machine Learning where the model learns from data without any labels.

A type of technology that uses AI to create content, including text, video, code and images. A generative AI system is trained using large amounts of data, so that it can find patterns for generating new content.

The network of physical objects (“things”) that are embedded with sensors, software, and other technologies to connect and exchange data with other devices and systems over the internet.

A knowledge base used by Google to enhance its search engine’s search results with semantic-search information gathered from a wide variety of sources.

The field of AI and engineering focused on creating machines that can move and react to sensory input.

The use of natural language processing to identify, extract, quantify, and study affective states and subjective information.

The ability of a machine or program to identify words and phrases in spoken language and convert them to a machine-readable format.

A basic unit of text that an LLM uses to understand and generate language. A token may be an entire word or parts of a word.

Vehicles capable of sensing their environment and operating without human involvement.

The process of using quantum-mechanical phenomena such as entanglement and superposition to perform calculations. Quantum machine learning uses these algorithms on quantum computers to expedite work because it performs much faster than a classic machine learning program and computer.

A measure of a machine’s ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human.