JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain how JAX uses XLA, JIT compilation, and auto-vectorization to turn ordinary ...

Ray joins leading open source AI projects including PyTorch and vLLM to minimize AI computing complexity and speed production The PyTorch Foundation is a community-driven hub supporting the open ...

Despite widespread adoption of large language models across enterprises, companies building LLM applications still lack the right tools to meet complex cognitive and infrastructure needs, often ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Abstract: When it comes to medical picture recognition, convolutional neural networks are now the gold standard. The mistake in recreating the CT picture is responsible for the low overall accuracy in ...

U.S. Army Soldiers with the 2nd Cavalry Regiment are pictured during exercise Dragoon Ready 2023. (Sgt. Rebecca Call/U.S. Army) Within the Army Transformation Initiative, the Army’s Next Generation ...

Are you looking to make your Tkinter application more interactive and responsive? Well, you’re in the right place! In this tutorial, we’ll dive into the world of Tkinter command binding, which allows ...

Operator learning is a transformative approach in scientific computing. It focuses on developing models that map functions to other functions, an essential aspect of solving partial differential ...

I am a hacker, engineer, product manager, and researcher on LLMs, AI/ML, and the ethics of applied machine learning. I am a hacker, engineer, product manager, and researcher on LLMs, AI/ML, and the ...