Depending on the application, a transformer model follows an encoder-decoder architecture. The encoder component learns a vector representation of data that can then be used for downstream tasks ...

There is a new paper by Google and Waymo (Scaling Laws of Motion Forecasting and Planning A Technical Report that confirmed ...

What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...

Writer combines encoders, which is the part of a transformer that is good at understanding text, and decoders, the components that predict and generate text. Unlike other models, Writer’s models ...

The key to addressing these challenges lies in separating the encoder and decoder components of multimodal machine learning models. Modern multimodal models (for speech generation or visual ...

At Mobile World Congress 2024, they first demonstrated over-the-air interoperability of AI-enhanced channel state feedback encoder and decoder models. These were running in reference mobile ...