List of AI Terms
A-Z Glossary of Terms Related to Artificial IntelligenceThe emergence of artificial Intelligence (AI) has given rise to lots of new terms and abbreviations. AI also includes other aspects like Robotics, Computer Vision, Speech Recognition, Sentiment Analysis, Expert Systems, Fuzzy Systems, and Evolutionary Computation, each with its own set of abbreviations and terminologies.
Here is a complete glossary of AI-related terms. Click the links for a more detailed explanation of each entry.
|Term & Definition
|Computer systems able to perform tasks that usually require human intelligence.
Artificial Intelligence/Machine Learning as a Service
|The offering of AI and ML capabilities as part of cloud computing services.
Artificial General Intelligence
|Highly autonomous systems that outperform humans at most economically valuable work.
Artificial Neural Networks
|Computing systems inspired by the human brain's neural networks. They are a key component of Deep Learning (DL).
Automated Machine Learning
|The process of automating the end-to-end process of applying machine learning to real-world problems.
Bidirectional Encoder Representations from Transformers
|An LLM method developed by Google and used in NLP.
Convolutional Neural Networks
|A class of DNN, most commonly applied to analyzing visual imagery.
|A subset of ML that structures algorithms in layers to create an artificial neural network that can learn and make intelligent decisions on its own.
Deep Neural Networks
|A type of ANN with multiple layers between the input and output layers.
Generative Adversarial Networks
|A class of AI algorithms used in unsupervised machine learning, implemented by a system of two neural networks contesting with each other.
Generative Pre-trained Transformer
|A class of language processing models particularly known for their ability to generate coherent and contextually relevant text.
Gated Recurrent Unit
|A type of RNN that simplifies learning in sequential tasks. It uses gating mechanisms to control information flow.
Internet of Things
|The network of physical objects (i.e., "things") that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet.
Large Language Model
|A type of AI designed to process, understand, and generate human language.
Long Short-Term Memory
|A type of RNN that can remember long sequences of data, improving performance in tasks like speech recognition.
|A subset of AI that involves the practice of using algorithms to parse data, learn from it, and then make a determination or prediction.
Narrow Artificial Intelligence
|AI systems designed to perform specific tasks, operating under a limited set of constraints. (Also known as "Weak AI".)
Natural Language Processing
|A branch of AI that helps computers understand, interpret, and manipulate human language.
|A type of ML where an agent learns to behave in an environment, by performing actions and seeing the results.
Recurrent Neural Networks
|A type of ANN designed to recognize patterns in sequences of data, such as text, genomes, handwriting, or spoken word.
Superintelligent Artificial Intelligence
|AI systems that surpass human intelligence in practically every field.
Weak Artificial Intelligence
|AI systems designed to perform specific tasks, operating under a limited set of constraints. (More commonly known as "Narrow AI".)
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