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 ...

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 ...

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 ...

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Following multiple requests from readers, the Herald is releasing the full dataset of purchases made by state agencies using their procurement cards, or P-Cards, as provided by the state comptroller’s ...

SCDL seems to me to have two parts: a format for efficient access to row-wise data, and a PyTorch Dataset derivative. The former has many uses beyond PyTorch and the project I work on explicitly tries ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper introduces the Bilateral Trade in Services (BiTS) research dataset. BiTS draws primarily on the non-estimated ...

That's about 4 million times the average internet speed in the U.S. and would allow you to download the entire Internet Archive in less than four minutes, according to some rough estimates. This is ...