Companies need help with the deluge of text data, which includes user-generated content, chat logs, and more. Traditional approaches to organizing and analyzing this essential data can be time-consuming, costly, and error-prone.  One effective method for text...

In software development, building and debugging code can be challenging. Developers often spend significant time and effort navigating through codebases, fixing errors, and making changes. While existing tools and IDEs are available to assist developers, they may not...

In our rapidly advancing artificial intelligence (AI) world, we have witnessed remarkable breakthroughs in natural language processing (NLP) capabilities. From virtual assistants that can converse fluently to language models that can generate human-like text, the...

Outstanding results in various tasks, including document generation/summarization, machine translation, and speech recognition, have propelled the Transformer architecture to the forefront of Natural Language Processing (NLP). Large language models (LLMs) have...

Large vision language models (LVLMs) showcase powerful visual perception and understanding capabilities. These achievements have further inspired the research community to develop a variety of multi-modal benchmarks constructed to explore the powerful capabilities...

A team of researchers from Salesforce AI has introduced Moirai to address the challenge of time series forecasting across various domains and frequencies, aiming to move toward a universal forecasting approach. Traditional deep learning models for time series...