http://dylanler.github.io/tags/education/Recent content in Education on Dylan LerHugo -- 0.133.0en-usFri, 06 Feb 2026 08:00:00 -0800http://dylanler.github.io/posts/ascii-tui-diagrams-fine-tuning-qwen3/Fri, 06 Feb 2026 08:00:00 -0800http://dylanler.github.io/posts/ascii-tui-diagrams-fine-tuning-qwen3/In an era of photorealistic AI-generated images, I trained a language model to draw with box-drawing characters and pipe symbols. This isn’t nostalgia. It’s a bet that the most universal visual medium for AI isn’t pixels – it’s text. Why ASCII Diagrams Still Matter Every developer, every terminal session, every SSH connection, every log file, every README – text is the one output format that works everywhere. No rendering engine, no GPU, no browser required.http://dylanler.github.io/posts/fine-tuning-qwen3-p5js-physics-animations/Wed, 04 Feb 2026 09:30:00 -0800http://dylanler.github.io/posts/fine-tuning-qwen3-p5js-physics-animations/What happens when you take one of the smallest language models available, feed it a thousand physics animations generated by one of the largest, and ask it to teach K-12 students about science? You get a model that weighs less than a gigabyte, trains in under 3 minutes, and generates interactive physics simulations on demand. The Premise LLMs are getting bigger. GPT-5, Claude Opus, Gemini Ultra – they’re all racing to hundreds of billions of parameters.