Generative Pre-trained Transformer (GPT) models have pushed the boundaries of NLP, enabling machines to understand…

Organizations are deploying ML models in real-world scenarios where they encounter dynamic data and changing…

The exponential growth of data in diverse formats—text, images, video, audio, and more—has necessitated the…

As machine learning models grow in complexity and size, deploying them on resource-constrained devices like…

NVIDIA Cosmos is a platform that empowers developers to construct customized world models for physical…

World foundation models (WFMs) bridge the gap between the digital and physical realms. These powerful…

The sheer size and computational demands of large ML models, like LLMs, pose significant challenges…

Tabular data, the backbone of countless scientific fields and industries, has long been dominated by…

Developed by researchers at Google Research, T5 (Text-to-Text Transfer Transformer) [paper] employs a unified text-to-text…

Microsoft has released Phi-4, designed to excel in mathematical reasoning and complex problem-solving. Phi-4, with…

BERT (Bidirectional Encoder Representations from Transformers), introduced by Google in 2018, allows for powerful contextual…

SmolAgents is an open-source Python library developed by Hugging Face for building and running powerful…

AI agents represent a significant advancement in AI, signifying a shift from AI systems that…

Large ML models often come with substantial computational costs, making them challenging to deploy on…