a = torch.compile(torch.exp)(x) b = torch.compile(lambda x: torch.exp(x))(x) behave differently. The first will just call the python operation, the second will capture it in a graph and go through the ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: With the rapid development of deep learning models and hardware support for dense computing, the deep learning (DL) workload characteristics changed significantly from a few hot spots on ...

I have a neural net that uses F.scaled_dot_product_attention together with a learned bias. I am trying to switch to Flex Attention. I am running into strange issues where Flex Attention gives me an ...

Building a chatbot can feel like an overwhelming task, especially when you’re juggling multiple tools and trying to ensure everything works seamlessly. If you’ve ever found yourself stuck between ...

LangGraph 0.3 introduces prebuilt AI agents, enhancing its framework for developers. This update, supported by tech giants, aims to simplify AI agent creation and foster community contributions.

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...

Abstract: The transformation of pseudocode to Python is vital as it enables students to concentrate on the algorithms while not being distracted by the syntax and also is the key stage in software ...

The new interpreter will run Python programs as much as 5% faster, with no changes to existing code required. A beta of Python 3.14 is due in May. March 10 update ...