Outer Web | Explore

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Click through on any links that interest you or select the planets on the right to continue exploring the Outer Web.

You are here		enbao.me Late July Paper Reading
\|	\|	cset.georgetown.edu The Surprising Power of Next Word Prediction: Large Language Models Explained, Part 1 \| Center for Security and Emerging Tech... Place to find CSET's publications, reports, and people	4.2 parsecs Travel
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\|	\|	blog.adnansiddiqi.me Introduction to LLM \| Adnan's Random bytes Learn the basics of Large Language Models (LLMs) in this introduction to GenAI series. Discover how LLMs work, their architecture, and practical applications like customer support, content creation, and software development.	4.5 parsecs Travel
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\|	\|	blog.rfox.eu How to run your own LLM (GPT) Some context about GPT & LLM (Large Language Models), how to run them on your own computer, and some examples how I use GPT4.	4.2 parsecs Travel
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\|	\|	vxlabs.com Variational Autoencoder in PyTorch, commented and annotated. - vxlabs I have recently become fascinated with (Variational) Autoencoders and with PyTorch. Kevin Frans has a beautiful blog post online explaining variational autoencoders, with examples in TensorFlow and, importantly, with cat pictures. Jaan Altosaar's blog post takes an even deeper look at VAEs from both the deep learning perspective and the perspective of graphical models. Both of these posts, as well as Diederik Kingma's original 2014 paper Auto-Encoding Variational Bayes, are more than worth your time.	19.6 parsecs Travel
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