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DeFi Pool

Liquidity Pool (DeFi Liquidity Pool)

Definition A Liquidity Pool, in the context of Decentralized Finance (DeFi), refers to a collection of funds locked in a smart contract, which users can use to facilitate decentralized trading,

Language Model

Large Language Model (LLM)

Definition A Large Language Model (LLM) is a type of artificial intelligence model designed to understand, generate, and manipulate human language. It is trained on massive amounts of text data,

Lateral Movement Attack

Lateral Movement (Cybersecurity Attack)

Definition Lateral movement in cybersecurity refers to the technique used by attackers to navigate through a network, gaining access to various systems and resources after the initial breach. This process

Lurking Shadow

Lurking

Definition Lurking refers to the act of observing or following online discussions, forums, or social media platforms without actively engaging or participating in the conversation. People who lurk are called

LiPo Battery

Lithium Polymer Battery (LiPo Battery)

Definition A Lithium Polymer (LiPo) Battery is a type of rechargeable battery that utilizes a lithium-ion chemistry combined with a solid polymer electrolyte. This construction offers lighter weight, flatter form

Linux Computer

Linux PC

Definition A Linux PC refers to a computer that utilizes the Linux operating system (OS). Linux is an open-source, Unix-like OS created by Linus Torvalds and has numerous distributions such

Variable Loop

Loop Variable

Definition A loop variable, also known as an iterator or index, is a variable that controls the number of times a loop iterates in a programming language. It is usually

Interpretable Model

Local Interpretable Model-Agnostic Explanations

Definition Local Interpretable Model-Agnostic Explanations (LIME) is a method used to enhance the interpretability and trustworthiness of complex machine learning models. By generating simplified, locally-linear approximations around individual data points,

Relevance Propagation

Layer-Wise Relevance Propagation

Definition Layer-wise Relevance Propagation (LRP) is a neural network interpretability method that helps understand the decision-making process of deep learning models by assigning a relevance score to each input feature.