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What is natural language generation (NLG)?
NLG is a technology that converts structured data into natural language for human interpretation.
NLG is a technology that converts structured data into natural language for human interpretation.
See lessWhat is generative adversarial networks (GANs)?
GANs consist of two neural networks competing to generate realistic data, commonly used for creating synthetic images.
GANs consist of two neural networks competing to generate realistic data, commonly used for creating synthetic images.
See lessWhat is a recurrent neural network (RNN)?
RNNs are a type of neural network that processes sequences of data, useful in language modeling.
RNNs are a type of neural network that processes sequences of data, useful in language modeling.
See lessWhat is natural language understanding (NLU)?
NLU is a branch of AI focusing on machines interpreting and understanding human language.
NLU is a branch of AI focusing on machines interpreting and understanding human language.
See lessWhat is anomaly detection?
Anomaly detection uses AI to identify unusual patterns or outliers in data, often for security purposes.
Anomaly detection uses AI to identify unusual patterns or outliers in data, often for security purposes.
See lessWhat is an intelligent agent?
An intelligent agent is an AI system capable of making decisions autonomously based on its environment.
An intelligent agent is an AI system capable of making decisions autonomously based on its environment.
See lessWhat is sentiment analysis?
Sentiment analysis uses AI to determine the emotional tone of text, such as social media posts.
Sentiment analysis uses AI to determine the emotional tone of text, such as social media posts.
See lessWhat is a decision tree?
A decision tree is an AI model that makes decisions based on hierarchical, branching conditions.
A decision tree is an AI model that makes decisions based on hierarchical, branching conditions.
See lessWhat is data augmentation?
Data augmentation artificially increases the size of training datasets through techniques such as cropping and flipping.
Data augmentation artificially increases the size of training datasets through techniques such as cropping and flipping.
See lessWhat is feature engineering?
Feature engineering is the process of selecting and transforming data to improve AI model performance.
Feature engineering is the process of selecting and transforming data to improve AI model performance.
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