DISCOVER OUR GEN AI GLOSSARY

In the artificial intelligence era, it is more important than ever for businesses to have a clear understanding of the jargon and terminology used in the field. This is where our generative artificial intelligence glossary comes in. A generative artificial intelligence glossary is a valuable resource that can help our customers to have clear and concise definitions of generative artificial intelligence terms, to better understand the services and products that our business offers. 

A glossary can also help us to communicate more effectively with our partners. When everyone is on the same page with regard to the terminology used in generative artificial intelligence, it can lead to improved efficiency and productivity.

A

Gen AI Glossary - Attention Mechanisms

Attention Mechanisms

A technique used in deep learning models to selectively focus on certain parts of input data.

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Gen AI Glossary - Autoencoders

Autoencoders

A type of neural network used for unsupervised learning and data compression.

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B

Gen AI Glossary - Bayesian Networks

Bayesian Networks

A probabilistic graphical model that can be used for reasoning under uncertainty.

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C

Gen AI Glossary - Computer Vision

Computer Vision

The ability of a computer to interpret and understand visual information from the world, including images and videos.

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Gen AI Glossary - Convolutional Neural Networks

Convolutional Neural Networks

A type of neural network that can process image and video data, used in generative AI for image generation.

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D

Gen AI Glossary - Data Augmentation

Data Augmentation

A technique used to increase the size and diversity of training data by creating new variations of existing data.

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ChatGPT Glossary - Deep Learning

Deep Learning

A subfield of machine learning that uses artificial neural networks with many layers to analyse and process data, which ChatGPT uses to generate responses.

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F

Gen AI Glossary - Few-shot Learning

Few-shot Learning

A type of machine learning that involves training models to learn from only a few examples, similar to how humans can learn new concepts quickly.

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G

Gen AI Glossary - Gen AI

Gen AI

Generative Artificial Intelligence refers to the subset of AI that involves creating or generating new and original content such as images, music, text or other media using algorithms.

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Gen AI Glossary - Generative Adversarial Networks (GANs)

Generative Adversarial Networks (GANs)

Generative Adversarial Networks are a type of neural network that generates new content by learning from a dataset and generating similar content.

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ChatGPT Glossary - Generative Models

Generative Models

Machine learning models that generate new data based on a given set of input data, which ChatGPT is an example of.

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I

Gen AI Glossary - Image Recognition

Image Recognition

The ability of machines to identify objects, people, and other elements in images, used in generative AI to create new images.

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Gen AI Glossary - Image Synthesis

Image Synthesis

The process of generating new images using machine learning algorithms.

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Gen AI Glossary - Inference

Inference

The process of generating new content from a generative AI model, used to create new content.

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L

ChatGPT Glossary - Language Modelling

Language Modelling

The process of using machine learning algorithms to predict the likelihood of a sequence of words or phrases, which ChatGPT is trained to do.

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Gen AI Glossary - LSTM Networks

LSTM Networks

A type of neural network that can process sequential data, used in generative AI to create new content.

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M

Data Glossary - Machine Learning

Machine Learning

A type of artificial intelligence that enables systems to automatically learn and improve from experience without being explicitly programmed.

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N

ChatGPT Glossary - Natural Language Processing (NLP)2

Natural Language Processing (NLP)

The field of AI that focuses on enabling machines to understand and generate human language, which ChatGPT is designed to do.

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Gen AI Glossary - Neural Networks

Neural Networks

A type of machine learning model inspired by the structure and function of the human brain.

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Gen AI Glossary - Neural Style Transfer

Neural Style Transfer

A technique that uses deep learning to transfer the style of one image to another, creating new and original art.

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P

Gen AI Glossary - Probability Density Functions

Probability Density Functions

Mathematical functions that describe the likelihood of an event occurring, used in generative AI to model data distributions and create new content.

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R

Gen AI Glossary - Recursive Neural Networks

Recursive Neural Networks

A type of neural network that can process variable-length sequences of data, used in generative AI to create new content.

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Gen AI Glossary - Reinforcement Learning

Reinforcement Learning

A type of machine learning that involves training agents to make decisions based on rewards and punishments in a given environment.

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S

Gen AI Glossary - Self-supervised Learning

Self-supervised Learning

A type of machine learning that involves training models using data that has been automatically labelled or augmented.

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ChatGPT Glossary - Speech Recognition

Speech Recognition

The process of converting spoken language into text, which ChatGPT can be used for with the appropriate training.

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T

Gen AI Glossary - Text to Speech (TTS)

Text to Speech (TTS)

The conversion of written text into spoken words, used in generative AI for voice generation.

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ChatGPT Glossary - Transfer Learning

Transfer Learning

The process of using knowledge gained from one task to improve performance on another related task, which ChatGPT has benefited from through its training on a diverse range of text data.

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Gen AI Glossary - Transformer Models

Transformer Models

A type of neural network architecture commonly used in natural language processing tasks.

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U

Gen AI Glossary - Unsupervised Learning

Unsupervised Learning

A type of machine learning that involves training algorithms to find patterns and relationships in data without explicit labels or guidance.

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V

Gen AI Glossary - Variational Autoencoders (VAEs)

Variational Autoencoders (VAEs)

A type of autoencoder that learns a compressed representation of data and can generate new samples from that representation.

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