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General Explainability

General Explainability

Introduction General explainability refers to the ability of a system or model to provide understandable and interpretable explanations for its decisions or actions. It is an important aspect of artificial… 

Foundation Model (FM)

Foundation Model (FM)

Introduction The Foundation Model (FM) is a state-of-the-art language model developed by OpenAI. It is designed to generate human-like text and has been trained on a vast amount of internet… 

Training Data

Training Data

Introduction Training data is a crucial component in the development of artificial intelligence systems. It refers to the information or examples that are used to train an AI model or… 

True Negative

True Negative

Introduction Introduction: In the context of binary classification, a true negative refers to a situation where a model correctly predicts the absence of a particular condition or event when it… 

Explainability (XAI)

Explainability (XAI)

Introduction Explainability (XAI) refers to the ability of an AI system to provide understandable and transparent explanations for its decisions or actions. It aims to bridge the gap between the… 

Feature Selection

Feature Selection

Introduction Feature selection is a crucial step in machine learning and data analysis. It involves selecting a subset of relevant features from a larger set of available features to improve… 

Elizabeth II

Elizabeth II

  Elizabeth II (Elizabeth Alexandra Mary; 21 April 1926 – 8 September 2022) The Life and Reign of Queen Elizabeth II Queen Elizabeth II is the longest-reigning monarch in British history, having ascended to the… 

Pelé

Pelé

Introduction Pelé, whose full name is Edson Arantes do Nascimento, is a retired Brazilian professional footballer. Widely regarded as one of the greatest football players of all time, Pelé achieved…