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Overview
Overview # Over the winter break, I was reviewing Fourier Transform and its various applications. Fundamentally, Fourier Transform is about a shift in perspective - viewing the same data with a different lens makes some operations easier or faster.
News
Tiny World Model
Overview # After coming across Ha & Schmidhuber's 2018 paper World Models earlier this year, I have been working on building a "tiny world model" on a clone of Chrome's Dino game. The final model is small: a variational autoencoder (VAE), a recurrent worl
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Building mini_sglang from Scratch
Overview # I have been experimenting with SGLang and vLLM for hosting Qwen for local AI. While I felt comfortable running and benchmarking these systems, I did not really understand the internals of a production grade inference engine. With coding agents,
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Software for One
Introduction # In the age of coding agents, building software has never been cheaper or easier. I can go from an idea to shipping working software in an afternoon. I wanted to document a couple of these in this post and argue that, in the era of AI coding
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Building chef-py: Replacing Chef with Python
Introduction # I've been using Chef for server configuration for a while now. It works, but there's always been friction. I don't write Ruby anywhere else, so every time I need to update server configs, I'm context-switching into a language I'm barely lit
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Building Flow Matching Models from Scratch
Introduction # Continuing the path of learning about deep learning, I have been working on building a diffusion/flow matching models from scratch on and off for a while. My initial goal was to build a flow-matching or diffusion model for audio with mel-sp
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