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Large Language Models (LLMs)

A subset of artificial intelligence focused on understanding and generating human language.

Machine Learning (ML)

A subfield of artificial intelligence that deals with the recognition of patterns in data.

Deep Learning

A field within machine learning that uses artificial neural networks to model complex relationships in unstructured data.

Artificial Neural Networks

Computational models inspired by the human brain that are used in deep learning.

Classification Problem

A type of machine learning task where the outcome variable is categorical, i.e., it can take on one of a fixed set of classes.

Regression Problem

A type of machine learning task where the outcome variable is continuous.

Word Embedding

A representation of words in a numerical format that captures their meaning in context.

Sentiment Analysis

The process of determining the emotional tone behind a body of text.

Neural Networks

Powerful machine learning models that consist of multiple layers and can model complex relationships.

Training a Model

The process of using labeled data to help a machine learning model learn the relationship between inputs and outputs.