IIT Bombay researchers develop AI model for interpreting satellite images with natural language prompts, revolutionising ...

This model consists of several key modules, including: a large language model, visual encoder, segmentation decoder, visual text mapper, classification layer, and positioning structure. The training ...

Discover the key differences between Moshi and Whisper speech-to-text models. Speed, accuracy, and use cases explained for your next project.

In recent years, with the rapid development of large model technology, the Transformer architecture has gained widespread attention as its core cornerstone. This article will delve into the principles ...

It builds on the encoder-decoder model architecture where the input is encoded and passed to a decoder in a single pass as a fixed-length representation instead of the per-token processing ...

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.

We study a streamable attention-based encoder-decoder model in which either the decoder, or both the encoder and decoder, operate on pre-defined, fixed-size windows called chunks. A special ...

In this section, we first introduce the proposed variational auto-Encoder model for de novo molecular design, named PED. PED consists of three modules, namely predictor, encoder and decoder, by doing ...