B1 Chat GPT/ AI Vocab

Artificial Intelligence (AI)

A branch of computer science that deals with the creation of intelligent machines that can perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, and decision-making.

Machine Learning

A subset of AI that involves training machines to learn from data without being explicitly programmed. It uses algorithms and statistical models to analyze data and make predictions or decisions.

Deep Learning

A type of machine learning that uses neural networks to simulate the human brain's learning process. It allows machines to learn from large amounts of data and improve their accuracy over time.

Natural Language Processing (NLP)

A field of AI that deals with teaching machines to understand and interpret human language. It enables machines to perform tasks such as language translation, sentiment analysis, and text summarization.

Computer Vision

A field of AI that focuses on enabling machines to interpret and analyze visual data from the world around them. It allows machines to perform tasks such as object recognition, facial recognition, and image classification.

Neural Networks

A type of AI model that is inspired by the structure and function of the human brain. It consists of interconnected nodes that process information and learn from experience.

Reinforcement Learning

A type of machine learning that involves training machines to learn from their own actions and the resulting feedback. It is commonly used in robotics and game development.

Generative Adversarial Networks (GANs)

A type of deep learning model that involves two neural networks working together to generate new data. It is commonly used in image and video synthesis.

Explainable AI (XAI)

A field of AI that aims to develop transparent and interpretable AI systems. It enables humans to understand how an AI system arrived at its decisions or recommendations.

Transfer Learning

A type of machine learning that involves transferring knowledge from one task to another. It allows machines to learn new tasks with less training data and time.

Autonomous Systems

Intelligent machines that can perform tasks without human intervention or control. Examples include self-driving cars and drones.

Edge Computing

A method of processing data at the edge of the network, closer to the devices and sensors that generate it. It enables faster and more efficient processing of data for AI applications.

Internet of Things (IoT)

A network of interconnected devices that can communicate and exchange data with each other. It provides a vast source of data for AI applications.

Synthetic Data

Artificially generated data that can be used to train machine learning models. It is useful when real data is scarce, expensive, or difficult to obtain.

Hyperautomation

The use of AI and other advanced technologies to automate as many business processes as possible. It enables organizations to increase efficiency and reduce costs.

prompt

sugestia, input

disruption

zamęt, zakłócenie

violation

naruszenie, pogwałcenie

diversity

różnorodność, rozmaitość

enable

umożliwiać, pozwalać

narrow

wąski

Accuracy

dokładność, precyzyjność

embeded

wbudowany

tackle

uporać się (z czymś), stawiać czoło (problemom)

minorities

mniejszości

Bias

uprzedzenie, stronniczość

field

pole, dziedzina

subset

podgrupa / podzbiór

consist of

składać się z

edge

krawędź, brzeg, skraj

provide

dostarczać, zapewniać

behavior

zachowanie

mimic

naśladować

goal

cel

problem solving

rozwiązywanie problemów

reasoning

rozumowanie, argumentacja

transparent

przejrzysty, jawny, zrozumiały

predictive

przewidujący

autonomous

niezależny, autonomiczny

automation

automatyzacja

complex

złożony, skomplikowany