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jack-clark.net
| | rssdss.design.blog
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| | Hi everyone- Another month, another UK Prime Minister it seems - certainly the rate of political dramas doesn't seem to be slowing...Perhaps time for a breather, with a wrap up of data science developments in the last month. Following is the November edition of our Royal Statistical Society Data Science and AI Section newsletter- apologies...
| | jonathanbgn.com
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| | Since the deep learning wave started in the early 2010s, there has been much hype and disappointments. I feel that a big part of this is due to high expectations driven by research progress that do not translate so well in real-world applications. Hopefully, self-supervised learning might be able to close the gap between these two worlds. This learning paradigm is not new, but it has seen a resurgence of interest over the past few years thanks to mediatized successes like GPT-3 or BERT. Many AI pundits h...
| | a16z.com
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| | A curated list of resources we've relied on to get smarter about modern AI, including generative AI, LLMs, and transformer models.
| | wtfleming.github.io
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| [AI summary] This post discusses achieving 99.1% accuracy in binary image classification of cats and dogs using an ensemble of ResNet models with PyTorch.