Latest
My notes from Zeyuan Allen-Zhu's ICML presentation, outlining a physics of language models framework using synthetic data, controlled experiments, and probing to reveal how LLMs learn, store, and manipulate knowledge, perform multi-step reasoning, and depend on training conditions for robust, generalizable capabilities.
Notes on The Superstruct ManifestoMy notes from the book The Superstruct Manifesto꞉ A Survival Guide for Founders Who Depend on Devs to Get Things Done by David Guttman.
Notes on The Great Mental Models - Volume 2: Physics, Chemistry, and BiologyMy notes from the book The Great Mental Models - Volume 2: Physics, Chemistry, and Biology by Shane Parrish and Rhiannon Beaubien.
GPU MODE Lecture 15: CUTLASSLecture #15 provides an in-depth conceptual explanation of NVIDIA's Cutlass library's tensor layout algebra system, focusing on how it handles shapes, strides, and tiling operations for efficient GPU tensor computations.
GPU MODE Lecture 14: Practitioners Guide to TritonLecture #14 provides a practical introduction to writing and optimizing GPU kernels using Triton, featuring comparisons with CUDA and hands-on examples like tensor copying, image processing, and matrix multiplication.
Tutorials
Step-by-step tutorials for setting up essential tools and platforms, designed to provide a solid foundation for a diverse range of projects.
Fine-Tuning Image Classifiers with PyTorch and the timm library for BeginnersLearn how to fine-tune image classification models with PyTorch and the timm library by creating a hand gesture recognizer in this easy-to-follow guide for beginners.
Training YOLOX Models for Real-Time Object Detection in PyTorchLearn how to train YOLOX models for real-time object detection in PyTorch by creating a hand gesture detection model.
ONNX Runtime in UnityTutorials for integrating ONNX Runtime into the Unity game engine.
TensorFlow.js in UnityIn this tutorial series, we explore how to create TensorFlow.js plugins for the Unity game engine.
Notes
My notes from various books.
GPU MODE Lecture NotesMy notes from the GPU MODE (formerly CUDA MODE) reading group lectures run by Andreas Kopf and Mark Saroufim.
EducationMy notes from resources on education.
HistoryMy notes from resources on history.
Mastering LLMs Course NotesMy notes from the course Mastering LLMs: A Conference For Developers & Data Scientists by Hamel Husain and Dan Becker.
About Me
I’m Christian Mills, a deep learning consultant specializing in practical AI implementations. I help clients leverage cutting-edge AI technologies to solve real-world problems.
I combine hands-on experience with technical expertise and clear communication to guide projects from conception to deployment.
My Expertise
- Custom AI solution development
- Automated synthetic data pipelines
- Real-time object detection and tracking systems
- LLM integration and fine-tuning
- AI Strategy Consulting
Interested in working together? Fill out my Quick AI Project Assessment form or learn more about me.