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Embedding this powerful ability into tools that developers can use is already proving invaluable at making developers better at their jobs and unlocking software production for less technical folks. By virtue of their size, underlying architecture, and training data and regime, the newest generation of state-of-the-art NLP models-called generative pre-trained transformers (GPTs)-can translate between many languages, including from text to code.

These two factors make it even more important to boost the productivity of those in the workforce, and the most recent improvements in AI-driven natural language processing (NLP) models are making that a reality. Even for those already in a programmer role, most of their time is not necessarily spent coding new features but rather writing tests, patching security issues, reviewing code, and fixing bugs. The number of jobs requiring software developers is increasing at a rate that vastly outpaces the number of skilled professionals entering the market to fill those roles.

The name “Decoder” means to translate or decode coded information from one format into another, so a digital decoder transforms a set of digital input signals into an equivalent decimal code at its output. A binary code of n bits is capable of representing up to 2^n distinct elements of coded information. In Digital Electronics, discrete quantities of information are represented by binary codes.
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Binary decoders are the inverse of encoders and are widely used in digital systems to convert serial codes into parallel outputs. In summary, a binary decoder is a digital circuit that converts a binary code into a set of outputs.
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