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

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.

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