Principal Component Analysis (PCA) is a statistical technique used to reduce the dimensionality of a data set,

Large Language Models (LLMs) are artificial intelligence systems designed to process and generate text from large volumes of language data.

Computer Vision (CV) is a branch of artificial intelligence that focuses on developing algorithms and techniques to enable machines and systems to

OCR (Optical Character Recognition) is a technology that allows the scanning and conversion of text from images into editable and searchable characters. The process

Text-to-Speech (TTS) is a technology that enables the transformation of written text into synthesized speech. This process involves several steps, starting with the analysis of the

ASR (Automatic Speech Recognition) is a technology that allows computers to recognize and transcribe human speech into text. This process involves capturing

Natural Language Understanding (NLU) is a subfield of Artificial Intelligence (AI) that focuses on the ability of machines to interpret and understand human language,

Natural Language Generation (NLG) is a subdomain of Artificial Intelligence that focuses on producing readable and coherent text from structured data,

Transfer Learning (TL) is a technique in the field of Artificial Intelligence (AI) that allows reusing a pre-trained model on a related task. Instead of

Federated Learning (FL) is a distributed machine learning approach that allows multiple devices or clients to train a machine learning model collectively, without

Reinforcement Learning (RL) is a machine learning paradigm where an agent learns to make decisions through

The Multi-Armed Bandit (MAB) is a classic problem in decision theory and machine learning that models the situation in which an agent must