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.

Discover the key differences between Moshi and Whisper speech-to-text models. Speed, accuracy, and use cases explained for your next project.

The key to addressing these challenges lies in separating the encoder and decoder components of multimodal machine learning models.

The encoder–decoder approach was significantly faster than LLMs such as Microsoft’s Phi-3.5, which is a decoder-only model.

IIT Bombay researchers develop AI model for interpreting satellite images with natural language prompts, revolutionising ...

February 6, 2023 - Global IP Core Sales - The new DVB-RCS2 Turbo Encoder and Decoder IP Core is on the transmitter side, the turbo-phi encoder architecture is based on a parallel concatenation of two ...