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The byte has been a commonly used unit of measure for much of the information age to refer to a number of bits.In the early days of computing, it was used for differing numbers of bits based on convention and computer hardware design, but today means 8 bits.
The byte is a unit of digital information that most commonly consists of eight bits.Historically, the byte was the number of bits used to encode a single character of text in a computer [1] [2] and for this reason it is the smallest addressable unit of memory in many computer architectures.
The byte is the most common unit of measurement of information (megabyte, mebibyte, gigabyte, gibibyte, etc.). The decimal SI prefixes kilo, mega etc., are powers of 10. The power of two equivalents are the binary prefixes kibi, mebi, etc. Accordingly: 1 kB = 1000 bytes = 8000 bits; 1 KiB = 2 10 bytes = 1024 bytes = 8192 bits
The byte, 8 bits, 2 nibbles, is possibly the most commonly known and used base unit to describe data size. The word is a size that varies by and has a special importance for a particular hardware context. On modern hardware, a word is typically 2, 4 or 8 bytes, but the size varies dramatically on older hardware.
Frequently, half, full, double and quadruple words consist of a number of bytes which is a low power of two. A string of four bits is usually a nibble . In information theory , one bit is the information entropy of a random binary variable that is 0 or 1 with equal probability, [ 3 ] or the information that is gained when the value of such a ...
Bit indexing correlates to the positional notation of the value in base 2. For this reason, bit index is not affected by how the value is stored on the device, such as the value's byte order. Rather, it is a property of the numeric value in binary itself.
Gulliver's Travels by Jonathan Swift, the novel from which the term was coined. In computing, endianness is the order in which bytes within a word of digital data are transmitted over a data communication medium or addressed (by rising addresses) in computer memory, counting only byte significance compared to earliness.
Byte pair encoding [1] [2] (also known as BPE, or digram coding) [3] is an algorithm, first described in 1994 by Philip Gage, for encoding strings of text into smaller strings by creating and using a translation table. [4]