Introduction Local explainability refers to the ability to understand and interpret the decisions made by a machine learning model at an individual instance level. It aims to provide insights into… 

Introduction An operating point, also known as a bias point or quiescent point, refers to the steady-state condition of an electronic circuit or system. It represents the specific values of… 

Introduction A Generative Adversarial Network (GAN) is a type of machine learning model that consists of two neural networks: a generator and a discriminator. The generator network is responsible for… 

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… 

Introduction Multimodal Artificial Intelligence (AI) refers to the integration of multiple modes of communication and perception, such as speech, text, images, and gestures, into AI systems. By combining these different… 

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… 

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…