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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.
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Building mini_sglang from Scratch
Overview # I have been experimenting with SGLang and vLLM for hosting Qwen for local AI.
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Software for One
Introduction # In the age of coding agents, building software has never been cheaper or easier.
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Building chef-py: Replacing Chef with Python
Introduction # I’ve been using Chef for server configuration for a while now.
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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.
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Learning about CT with Gemini
Overview # Over the winter break, I was reviewing Fourier Transform and its various applications.
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Navigating within a Mono Repo
Groot and Friends # Navigating within a mono repo can be tedious.
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Listening with LLM
Overview # This is the first part of many posts I am writing to consolidate learnings on how to finetune Large Language Models (LLMs) to process audio, with the eventual goal of being able to build and host a LLM able to describe human voices.
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Learning to Debug Gibberish
Overview # Recently, I went down a rabbit hole of debugging opensource LLM spewing gibberish on my PC.
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CORS with Cookie
Introduction # CORS stands for Cross-Origin-Resource-Sharing and is the HTTP mechanism to allow servers to accept requests from other host locations other than its own.
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Messing with Nvidia GPU on Headless Linux
I have a PC with Ubuntu server installed and Nvidia GPUs attached.
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Improvements to "m", a personal command line tool
From m to m2 # Having used m for many years now, I encountered two primary problems.
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Training a Speaker Embedding from Scratch with Triplet Learning
Posted on go.mou.dev/triplet-embedding-learning
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Tools
Fzf # Amazing command line tool to fuzzy search for files.
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ML paper notes
2017-09 # LEARNING FINE-GRAINED IMAGE SIMILARITY WITH DEEP RANKING # describes efficient sampling technique based on reservoir sampling for building triplets; requires an relevance function multi scale CNN DEEP METRIC LEARNING USING TRIPLET NETWORK # lear…
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Developer Experience
Commandline Productivity and Automation (aka make it easy to repeat) # Developers tend to repeat themselves.