Reframing the Web: A recipe for modeling languages with efficient use of data and computation
Large language models are trained on massive chunks of the web, which are often unstructured, noisy, and poorly written. Current ...
Large language models are trained on massive chunks of the web, which are often unstructured, noisy, and poorly written. Current ...
Language model adaptation is a crucial area in artificial intelligence, which focuses on improving large pre-trained language models to perform ...
The ability to automate and assist in coding has the potential to transform software development, making it faster and more ...
Self-supervised learning (SSL) has expanded the reach of speech technologies to many languages by minimizing the need for labeled data. ...
In recent research, the Institute for Natural Language Processing (IMS) at the University of Stuttgart, Germany, introduced ToucanTTS, marking a ...
A single photograph offers glimpses into the creator's world: their interests and feelings about a subject or space. But what ...
Introduction Since technology changes all the time, learning the most useful programming languages is very important. Today's digital world moves ...
Introduction Mixtral 8x22B is the latest open model launched by Mistral ai, setting a new standard for performance and efficiency ...
The rapid advancement of large language models has ushered in a new era of natural language processing capabilities. However, a ...
In recent years, computational linguistics has witnessed significant advances in the development of language models (LMs) capable of processing multiple ...