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Users. 30 million (as of 2024) G2A.COM Limited (commonly referred to as G2A) is a digital marketplace headquartered in the Netherlands, [ 1][ 2] with offices in Poland and Hong Kong. [ 3][ 4] The site operates in the resale of gaming offers and others digital items by the use of redemption keys. G2A.COM’s main offerings are game key codes for ...
Carding (fraud) Carding refers not only to payment card based fraud, but also to a range of related activities and services. Carding is a term of the trafficking and unauthorized use of credit cards. [ 1] The stolen credit cards or credit card numbers are then used to buy prepaid gift cards to cover up the tracks. [ 2]
Magnetic ink character recognition code, known in short as MICR code, is a character recognition technology used mainly by the banking industry to streamline the processing and clearance of cheques and other documents. MICR encoding, called the MICR line, is at the bottom of cheques and other vouchers and typically includes the document-type ...
Multi-factor authentication ( MFA; two-factor authentication, or 2FA, along with similar terms) is an electronic authentication method in which a user is granted access to a website or application only after successfully presenting two or more pieces of evidence (or factors) to an authentication mechanism. MFA protects personal data —which ...
SWIFT messages consist of five blocks of data including three headers, message content, and a trailer. Message types are crucial to identifying content. All SWIFT messages include the literal "MT" (message type/text [ 2] ). This is followed by a three-digit number that denotes the message category, group and type.
A financial institution, sometimes called a banking institution, is a business entity that provides service as an intermediary for different types of financial monetary transactions. Broadly speaking, there are three major types of financial institution: [ 1][ 2] Investment institution – investment bank, underwriter, and other different types ...
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Lexical tokenization is related to the type of tokenization used in large language models (LLMs) but with two differences. First, lexical tokenization is usually based on a lexical grammar, whereas LLM tokenizers are usually probability -based. Second, LLM tokenizers perform a second step that converts the tokens into numerical values.