Could pure AI encoding reinvent compression and make traditional codecs obsolete? Monica Heck examines what the future might ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and ...

Back in the old days, traditional phrase-based translation systems performed their task by breaking up source sentences into multiple chunks and then translated them phrase-by-phrase. This led to ...

Abstract: Anomalous behavior detection is an important component in many applications. Anomalies can represent problematic situations where early detection is critical to make situational assessments ...

This repository provides pre-trained encoder-decoder models and its related optimization techniques developed by Alibaba's MinD (Machine IntelligeNce of Damo) Lab. mPLUG-Owl (April 27, 2023): a new ...