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<!DOCTYPE html>
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<title>Michael Denkowski</title>
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<h1><b>Michael Denkowski</b></h1>
<p>
<a href="denkowski-cv.pdf">CV</a>
| <a href="https://github.com/mjdenkowski">GitHub</a>
| <a href="https://scholar.google.com/citations?user=9ytLtkYAAAAJ&hl=en">Google Scholar</a>
| <a href="/cmu">CMU (snapshot)</a>
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<p>
I work on <a href="https://en.wikipedia.org/wiki/Large_language_model">AI language models</a> at <a href="https://aws.amazon.com/what-is/large-language-model/">Amazon</a>. I'm based in <a href="https://maps.app.goo.gl/Yg9jqavmkpY8xfJM6">Fort Worth, Texas</a>.
</p>
<p>
These are a few of my favorite resources for anyone interested in getting into the field:
<ul>
<li>Andrew Ng's course, "<a href="https://www.coursera.org/learn/ai-for-everyone">AI For Everyone</a>".</li>
<li>Sébastien Bubeck's talk, "<a href="https://www.youtube.com/watch?v=qbIk7-JPB2c">Sparks of AGI: early experiments with GPT-4</a>".</li>
<li>Isa Fulford and Andrew Ng's course, "<a href="https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers">ChatGPT Prompt Engineering for Developers</a>".</li>
<li>Michael Nielsen's book, "<a href="http://neuralnetworksanddeeplearning.com/">Neural Networks and Deep Learning</a>".</li>
</ul>
</p>
<p>
Projects I've worked on include:
<ul>
<li>Amazon's <a href="https://aws.amazon.com/what-is/foundation-models/">AI foundation models</a>.</li>
<li><a href="https://aws.amazon.com/translate">Amazon Translate</a>, a neural machine translation service.</li>
<li><a href="https://github.com/awslabs/sockeye">Sockeye</a>, a PyTorch-based sequence-to-sequence modeling toolkit.</li>
<li><a href="https://github.com/moses-smt/mosesdecoder">Moses</a>, a statistical phrase-based machine translation system.</li>
<li><a href="https://github.com/cmu-mtlab/meteor">Meteor</a>, an automatic translation evaluation system.</li>
</ul>
</p>
<p>
My <a href="denkowski-cv.pdf">CV</a> and <a href="https://scholar.google.com/citations?user=9ytLtkYAAAAJ&hl=en">Google Scholar profile</a> include lists of publications.
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