Introducing ChatGPT Team

Language models stand as titans, harnessing the vast expanse of human language to power many applications. These models have revolutionized how machines understand and generate text, enabling translation, content creation, and conversational AI breakthroughs. Their huge size is a source of their prowess and presents formidable challenges. The computational heft required to operate these behemoths…

Powered by global.ntt In the News Top Artificial Intelligence Books to Read in 2024 Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. marktechpost.com Sponsor GenAI can transform business operations GenAI presents immense opportunities for innovation,…

Machine translation, an integral branch of Natural Language Processing, is continually evolving to bridge language gaps across the globe. One persistent challenge is the translation of low-resource languages, which often need more substantial data for training robust models. Traditional translation models, primarily based on large language models (LLMs), perform well with languages abundant in data…

Powered by AI Weekly’s future : would you support an ad-free version of this newsletter? typeform.com Welcome AI Weekly’s future : would you support an ad-free version of this newsletter? Dear AI Weekly Readers, After more than five years and over 450 weekly issues, we’re taking a step back to ask an important question: Where…

Powered by global.ntt In the News AI Companies Lose $190 Billion After Dismal Financial Reports Following disappointing quarterly earnings results by Microsoft and Google owner Alphabet, Reuters reports that AI-related companies lost a whopping $190 billion in stock market value. futurism.com Sponsor GenAI can transform business operations GenAI presents immense opportunities for innovation, personalized customer…

3D-aware Generative Adversarial Networks (GANs) have made remarkable advancements in generating multi-view-consistent images and 3D geometries from collections of 2D images through neural volume rendering. However, despite these advancements, a significant challenge has emerged due to the substantial memory and computational costs associated with dense sampling in volume rendering. This limitation has compelled 3D GANs…