Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

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

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 ...

This RFC gives an overview of those features & models which are not compatible with encoder/decoder currently, but which should be made compatible eventually (i.e.No in the second column, Yes in the ...

[KDD'22] Learned Token Pruning for Transformers . Contribute to kssteven418/LTP development by creating an account on GitHub.

In this article, we are going to see how we can remove noise from the image data using an encoder-decoder model. We will go through two approaches of denoising with encoder-decoder, one with dense ...

Abstract: Summary models, whether extractive or abstractive, have achieved great success recently. For long academic papers, the abstractive model with the encoder-decoder architecture mainly only ...

This research paper introduces an innovative AI coaching approach by integrating vision-encoder-decoder models. The feasibility of this method is demonstrated using a Vision Transformer as the encoder ...