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Domain: towardsdatascience.com Added: 2025-09-01 Status: βœ“ Success
towardsdatascience.com
Coding, waiting for results, interpreting them, returning back to coding. Plus, some intermediate presentations of one’s progress. But, things mostly being the same does not mean that there’s nothing ...
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https://zachwills.net/i-managed-a-swarm-of-20-ai-agents-for-a-week-here-are-the-8-rules-i-learned/
https://zachwills.net/i-managed-a-swarm-of-20-ai-agents-for-a-week-here-are-the-8-rules-i-learned/
A couple weeks ago I went heads-down and experimented with a new development model. The results were unexpected: a production-ready application, ~800 ...
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Anyone Else Struggling to Keep Up With Data Tools
https://seattledataguy.substack.com/p/anyone-else-struggling-to-keep-up
Anyone Else Struggling to Keep Up With Data Tools You can’t outlearn the internet, but you can learn what matters Hi, fellow future and current Data L...
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https://www.dbreunig.com/2025/08/01/does-the-bitter-lesson-have-limits.html
Does the Bitter Lesson Have Limits? Recently, β€œthe bitter lesson” is having a moment. Coined in an essay by Rich Sutton, the bitter lesson is that, β€œg...
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How to Design Machine Learning Experiments β€” the Right Way
https://towardsdatascience.com/how-to-design-machine-learning-experiments-the-right-way/
Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep dives, community news, and mor...
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Extract-0: A specialized language model for document information extraction
https://news.ycombinator.com/item?id=45427634
> the generation of 281,128 augmented examples, from which 1,000 were held out as a benchmark test set. This model is trained on a custom dataset of 2...
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AI is Making Us Work More - Tawanda Munongo
https://tawandamunongo.dev/posts/2025/10/ai-work-more
Intro I was listening, recently, to an episode of The Pragmatic Engineer podcast with Armin Ronacher, and something he said really resonated with me. ...
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https://seattledataguy.substack.com/p/5-things-in-data-engineering-that
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The Principles of Deep Learning Theory (arxiv.org)
https://news.ycombinator.com/item?id=31051540
First, thanks to the publisher and authors for making this freely available! I retired recently after using neural networks since the 1980s. I still s...
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https://seattledataguy.substack.com/p/what-separates-good-from-great-data
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A Recipe for Training Neural Networks
http://karpathy.github.io/2019/04/25/recipe/
A Recipe for Training Neural Networks Some few weeks ago I posted a tweet on β€œthe most common neural net mistakes”, listing a few common gotchas relat...
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