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Question		Answer
Artificial Intelligence (AI) start learning		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 start 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 start 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) start learning		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 start learning		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 start learning		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 start 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) start learning		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) start learning		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 start 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 start learning		Intelligent machines that can perform tasks without human intervention or control. Examples include self-driving cars and drones.
Edge Computing start learning		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) start learning		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 start learning		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 start learning		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 start learning		sugestia, input
disruption start learning		zamęt, zakłócenie
violation start learning		naruszenie, pogwałcenie
diversity start learning		różnorodność, rozmaitość
enable start learning		umożliwiać, pozwalać
narrow start learning		wąski
Accuracy start learning		dokładność, precyzyjność
embeded start learning		wbudowany
tackle start learning		uporać się (z czymś), stawiać czoło (problemom)
minorities start learning		mniejszości
Bias start learning		uprzedzenie, stronniczość
field start learning		pole, dziedzina
subset start learning		podgrupa / podzbiór
consist of start learning		składać się z
edge start learning		krawędź, brzeg, skraj
provide start learning		dostarczać, zapewniać
behavior start learning		zachowanie
mimic start learning		naśladować
goal start learning		cel
problem solving start learning		rozwiązywanie problemów
reasoning start learning		rozumowanie, argumentacja
transparent start learning		przejrzysty, jawny, zrozumiały
predictive start learning		przewidujący
autonomous start learning		niezależny, autonomiczny
automation start learning		automatyzacja
complex start learning		złożony, skomplikowany

B1 Chat GPT/ AI Vocab

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