Google has launched T5Gemma, a new collection of encoder-decoder large language models (LLMs) that promise improved quality ...

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 two-part machine that translates one form ...

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 ...

My team and I propose separating the encoder from the rest of the model architecture: 1. Deploy a lightweight encoder on the wearable device's APU (AI processing unit).

Microsoft has unveiled Mu, a compact AI language model designed to operate entirely on a PC’s Neural Processing Unit (NPU). Built for speed and privacy, Mu enables users to perform natural ...

Since both encoder and decoder models are learned (meaning they can be re-trained), the same encoder or decoder architecture can be specialised for different tasks.