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

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

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

It builds on the encoder-decoder model architecture where the input is encoded and passed to a decoder in a single pass as a fixed-length representation instead of the per-token processing ...

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