Mu Language Model is a Small Language Model (SLM) from Microsoft that acts as an AI Agent for Windows Settings. Read this ...

Recent research sheds light on the strengths and weaknesses of encoder-decoder and decoder-only models architectures in machine translation tasks.

Motivation # There is significant interest in vLLM supporting encoder/decoder models. Issues #187 and #180 , for example, request encoder/decoder model support. As a result encoder/decoder support ...

After such an Encoder Decoder model has been trained/fine-tuned, it can be saved/loaded just like any other models (see the examples for more information). This model inherits from ...

This paper investigates the ability of deep neural networks (DNNs) to predict a specific room impulse response (RIR) between two given room locations. We use three end-to-end deep learning (DL) models ...

In this article, we are going to see how we can remove noise from the image data using an encoder-decoder model.

NVIDIA's TensorRT-LLM now supports encoder-decoder models with in-flight batching, offering optimized inference for AI applications. Discover the enhancements for generative AI on NVIDIA GPUs. The IRS ...

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