Meta shifts focus to advanced AI with its Super Intelligence Lab, raising questions about the future of FAIR and open AI ...

The open source AI ecosystem took a decisive leap forward today as the PyTorch Foundation announced that Ray, the distributed computing framework originally developed by Anyscale, has officially ...

Ray joins leading open source AI projects including PyTorch and vLLM to minimize AI computing complexity and speed production ...

More than a year after leaving OpenAI, company cofounder Andrej Karpathy has returned with a hands-on demonstration of what ...

Abstract: Training deep learning models is computationally demanding and data-intensive. Existing approaches utilize local SSDs within training servers to cache datasets, thereby accelerating data ...

We will build a Regression Language Model (RLM), a model that predicts continuous numerical values directly from text sequences in this coding implementation. Instead of classifying or generating text ...

In letters to consultants and the College Board, House and Senate Judiciary leaders invoked antitrust law and asked how student data feeds pricing algorithms. By Ron ...

Çağan Şekercioğlu was an ambitious, but perhaps naive graduate student when, 26 years ago, he embarked on a simple data-compilation project that would soon evolve into a massive career-defining ...

Systemic lupus erythematosus (SLE) is a complex and potentially life-threatening autoimmune disease. Part of the complexity stems from how it can differ from person to person—giving rise to marked ...

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...