Outer Web | Explore

Explore >> Select a destination

You are here		md.ekstrandom.net mdekstrand :: Multiprocessing Woes
\|	\|	doughellmann.com The Python 3 Standard Library by Example · Doug Hellmann	13.8 parsecs away Travel
\|	\|	[AI summary] This book provides examples of using Python 3's Standard Library modules to enhance application development, covering topics like text processing, data structures, algorithms, and networking.	13.8 parsecs away Travel
\|	\|	tomaugspurger.net Scalable Machine Learning (Part 3): Parallel \| Tom's Blog	13.8 parsecs away Travel
\|	\|	This work is supported by Anaconda, Inc. and the Data Driven Discovery Initiative from the Moore Foundation. This is part three of my series on scalable machine learning. Small Fit, Big Predict Scikit-Learn Partial Fit Parallel Machine Learning You can download a notebook of this post [here][notebook]. In part one, I talked about the type of constraints that push us to parallelize or distribute a machine learning workload. Today, we'll be talking about the second constraint, "I'm constrained by time, and would like to fit more models at once, by using all the cores of my laptop, or all the machines in my cluster".	13.8 parsecs away Travel
\|	\|	vickiboykis.com GGUF, the long way around \| ??? Vicki Boykis ???	13.9 parsecs away Travel
\|	\|	What are ML artifacts?	13.9 parsecs away Travel
\|	\|	blog.paperspace.com Accelerating Large Language Models: The H100 GPU's Role in Advanced AI Development	31.8 parsecs away Travel
\|		Explore the revolutionary capabilities of the H100 GPU, which plays a crucial role in shaping the future of AI.	31.8 parsecs away Travel