LLM fine-tuning pipeline for Apple Silicon with MLX, web scraping, and LoRA training
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Updated
Aug 2, 2025 - Python
LLM fine-tuning pipeline for Apple Silicon with MLX, web scraping, and LoRA training
Pixel art editor with AI generation. Experiment testing LLMs for structured pixel output via WebGPU in the browser. Two models: OpenAI API (GPT-5.2) and local Ministral 3B via Transformers.js. Spoiler: small local models don't work great for this, but it was fun to build. Not for production use.
A Python project that uses advanced AI models (e.g., ministral-3:3b) to analyze crime data, predict future trends, and visualize insights on interactive maps. Built with pandas and folium, this tool helps identify crime hotspots, validate predictions against historical data, and generate actionable insights for law enforcement.
Local batch image analysis in the browser using Ministral 3B
Custom FSDP + LoRA training loop for Ministral 3 (axolotl workaround)
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