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What is Incremental Learning?

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Incremental Learning is an AI technique that allows models to continuously learn from new data without retraining from scratch. Instead of training the model on the entire dataset, Incremental Learning updates the model using newly available data. This approach is efficient for handling evolving data and adapting to changing environments.

Other Definitions

Fuzzy Logic

Fuzzy Logic is a mathematical framework that deals with uncertainty and imprecision. By assigning degrees of truth to statements, Fuzzy Logic allows businesses to…

Supervised Learning

Supervised Learning is a Machine Learning approach where models are trained using labelled data, with both input and output pairs. By learning from the…

Large Language Model (LLM)

A Large Language Model refers to a type of advanced Artificial Intelligence model designed to exhibit human-like language understanding and generation abilities. LLMs are…

Neural Networks

Neural Networks are a type of Machine Learning model inspired by the human brain. They are composed of interconnected nodes, or “neurons,” that process…
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