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, ...

Decoder-only models. In the last few years, large neural networks have achieved impressive results across a wide range of tasks. Models like BERT and T5 are trained with an encoder only or ...

If you still want to add a decoder model, you could extend the architecture with a BART or T5 model, both of which are encoder-decoder models. Here’s how you would modify it for a sequence generation ...

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 ...

TensorRT-LLM has long been a critical tool for optimizing inference in models such as decoder-only architectures like Llama 3.1, mixture-of-experts models like Mixtral, and selective state-space ...

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 ...

To work with a dataset from Hugging Face and train a model with a classification layer using an encoder-only model, followed by a decoder model, we will follow the steps below. For this example, we ...