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benhoyt.com | ||
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blog.ephorie.de
[AI summary] This blog post explains how Markov chain algorithms generate text and relates it to the workings of large language models like ChatGPT, emphasizing statistical prediction and natural language processing. |
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deejaygraham.github.io
a triumph of style over substance |
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sookocheff.com
A common method of reducing the complexity of n-gram modeling is using the Markov Property. The Markov Property states that the probability of future states depends only on the present state, not on the sequence of events that preceded it. This concept can be elegantly implemented using a Markov Chain storing the probabilities of transitioning to a next state. |
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mathscholar.org
[AI summary] The article details how DeepMind's AlphaDev program used AI to discover new sorting algorithms that outperform existing human-derived methods, while discussing broader implications of AI in mathematics and computing. |
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