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Articole: 16
  1. 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.

  2. Building mini_sglang from Scratch

    Overview # I have been experimenting with SGLang and vLLM for hosting Qwen for local AI.

  3. Software for One

    Introduction # In the age of coding agents, building software has never been cheaper or easier.

  4. Building chef-py: Replacing Chef with Python

    Introduction # I’ve been using Chef for server configuration for a while now.

  5. 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.

  6. Learning about CT with Gemini

    Overview # Over the winter break, I was reviewing Fourier Transform and its various applications.

  7. Navigating within a Mono Repo

    Groot and Friends # Navigating within a mono repo can be tedious.

  8. 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.

  9. Learning to Debug Gibberish

    Overview # Recently, I went down a rabbit hole of debugging opensource LLM spewing gibberish on my PC.

  10. 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.

  11. Messing with Nvidia GPU on Headless Linux

    I have a PC with Ubuntu server installed and Nvidia GPUs attached.

  12. Improvements to "m", a personal command line tool

    From m to m2 # Having used m for many years now, I encountered two primary problems.

  13. Training a Speaker Embedding from Scratch with Triplet Learning

    Posted on go.mou.dev/triplet-embedding-learning

  14. Tools

    Fzf # Amazing command line tool to fuzzy search for files.

  15. 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…

  16. Developer Experience

    Commandline Productivity and Automation (aka make it easy to repeat) # Developers tend to repeat themselves.