Artificial Intelligence
|
(AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
|
Automation
|
Automation is the creation of technology and its application in order to control and monitor the production and delivery of various goods and services. It performs tasks that were previously performed by humans.
|
Chatbot
|
A chatbot is a software application that is designed to imitate human conversation through text or voice commands.
|
Deep Learning
|
Deep learning is a collection of algorithms used in machine learning, used to model high-level abstractions in data through the use of model architectures, which are composed of multiple nonlinear transformations.
|
Emergent behavior
|
Emergent behavior, also called emergence, is when an AI system shows unpredictable or unintended capabilities.
|
Expert Systems
|
An expert system is a computer program that is designed to emulate and mimic human intelligence, skills or behavior. It is mainly developed using artificial intelligence concepts, tools and technologies, and possesses expert knowledge in a particular field, topic or skill. An expert system usually has two core components:
-
Knowledge base -- This component consists of data, facts and rules for a certain topic, industry or skill, usually equivalent to that of a human expert.
-
Interference engine -- This component uses the facts and rules in the knowledge base to find and learn new knowledge or patterns.
|
Generative AI
|
Generative AI is s 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.
|
Guardrails
|
Guardrails refer to restrictions and rules placed on AI systems to make sure that they handle data appropriately and don't generate unethical content.
|
Hallucination
|
Hallucination refers to an incorrect response from an AI system, or false information in an output that is presented as factual information.
|
Image recognition
|
Image recognition is the process of identifying an object, person, place, or text in an image or video.
|
Large language model
|
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.
|
Machine learning
|
Machine learning facilitates the continuous advancement of computing through exposure to new scenarios, testing, and adaptation while employing pattern and trend detection for improved decisions in subsequent (though not identical) situations.
|
Natural language processing
|
Natural language processing (NLP) is a method of translating between computer and human languages. It is a method of getting a computer to understandably read a line of text without the computer being fed some sort of clue or calculation.
|
Neural networks
|
A neural network, in general, is a technology built to simulate the activity of the human brain – specifically, pattern recognition and the passage of input through various layers of simulated neural connections.
|
Pattern recognition
|
In IT, pattern recognition is a branch of machine learning that emphasizes the recognition of data patterns or data regularities in a given scenario. Pattern recognition can be either “supervised,” where previously known patterns can be found in a given data, or “unsupervised,” where entirely new patterns are discovered. The objective behind pattern recognition algorithms is to provide a reasonable answer for all possible data and to classify input data into objects or classes based on certain features.
|
Predictive analytics
|
Predictive analytics is a type of analytics that uses technology to predict what will happen in a specific time frame based on historical data and patterns.
|
Prescriptive analytics
|
Prescriptive analytics is a type of analytics that uses technology to analyze data for factors such as possible situations and scenarios, past and present performance, and other resources to help organizations make better strategic decisions.
|
Prompt
|
A prompt is an input that a user feeds to an AI system in order to get a desired result or output.
|
Robotics
|
Robotics is the industry related to the engineering, construction and operation of robots – a broad and diverse field related to many commercial industries and consumer uses. The field of robotics generally involves looking at how any physical constructed technology system can perform a task or play a role in any interface or new technology.
|
Token
|
A token is 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.
|
Speech recognition
|
Automatic speech recognition (ASR) is the use of computer hardware and software-based techniques to identify and process human voice. It is used to identify the words a person has spoken or to authenticate the identity of the person speaking into the system. Automatic speech recognition is also known as automatic voice recognition (AVR), voice-to-text or simply speech recognition.
|
Unstructured data
|
Unstructured data is data that is undefined and difficult to search. This includes audio, photo, and video content. Most of the data in the world is unstructured.
|