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

Seq2Seq is essentially an abstract deion of a class of problems, rather than a specific model architecture, just as the ...

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. (In partnership with Paperspace) In recent years, the transformer model has ...

BLT architecture (source: arXiv) The encoder and decoder are lightweight models. The encoder takes in raw input bytes and creates the patch representations that are fed to the global transformer.

A Solution: Encoder-Decoder Separation 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.

The What: ZeeVee is introducing the ZyPer4K-XS, smaller-footprint encoder and decoder models with the performance of its premier SDVoE and AVoIP signal distribution solutions. [ZeeVee Upgrades ZyPer ...