Students often train large language models (LLMs) as part of a group. In that case, your group should implement robust access ...

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

Google has launched T5Gemma, a new collection of encoder-decoder large language models (LLMs) that promise improved quality and inference efficiency compared to their decoder-only counterparts. It is ...

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.

Microsoft Research and Tsinghua University researchers have introduced a novel architecture, You Only Cache Once (YOCO), for large language models. The YOCO architecture presents a unique ...

We introduce a decoder-decoder architecture, YOCO, for large language models, which only caches key-value pairs once. It consists of two components, i.e., a cross-decoder stacked upon a self-decoder.

An Encoder-decoder architecture in machine learning efficiently translates one sequence data form to another.

Convolutional encoder-decoder (CED) has emerged as a powerful architecture, particularly in speech enhancement (SE), which aims to improve the intelligibility and quality and intelligibility of ...