But not all transformer applications require both the encoder and decoder module. For example, the GPT family of large language models uses stacks of decoder modules to generate text.

In recent years, with the rapid development of large model technology, the Transformer architecture has gained widespread attention as its core cornerstone. This article will delve into the principles ...

An Encoder-decoder architecture in machine learning efficiently translates one sequence data form to another.

In general, these types of application will always require both an encoder and a decoder. The core requirements in contribution are usually high video quality and short-end-to-end delay.

Agilent Technologies announced the industry's smallest encoder-decoder (EnDec) chip for use in mobile phones and many other applications that require serial infrared (SIR) connectivity. The EnDec ...

Quadrature encoders work inmany applications to determinedisplacement and direction of mechanicaltravel. They vary in design, butthey all do the same thing: supply a setof square waves 90° out of ...

The company also features its PROFline products offering advanced digital audio compression and related data services for professional broadcast applications. The newest addition to the Superflex ...