SLM Research

⚡ TL;DR Two AIs asked to “help me get rich” spiraled into inventing the Infinite Radiance Cosmic Leitmotif Convergence Harmonizer Two AIs writing a story introduced themselves as “Codex Alpha” and “Lyric Weaver” (adorable) Two AIs in Socratic mode spent 100+ turns philosophizing about chickens crossing roads The actual experiment: getting them to build a text adventure game. It almost worked. Last weekend I built a tool that lets two local LLMs talk to each other. I had serious research goals—testing whether specialized coding models could collaborate with general-purpose models to build working software. ...

After successfully fine-tuning ChefBot on cooking recipes, I wondered: Could I fine-tune an AI on my own management experience to create a personalized executive assistant? Imagine asking your AI: “Summarize last week’s 1:1 with Sarah and suggest coaching points”, and getting a response in your voice, drawing from years of team dynamics and decision patterns. All running locally, with complete privacy and no API costs. This is the story of how I built exactly that. Spoiler: I failed three times before succeeding, and the lesson wasn’t about hyperparameters. ...

Imagine an AI that coordinates your entire cooking process—faster, smarter, and without ChatGPT’s API costs. With my RTX 5090 workstation humming, I’m answering: Can a specialized language model outcook ChatGPT in the kitchen? Over the past few days, I’ve been fine-tuning Qwen’s 32B and 14B parameter models to create ChefBot, an experimental Specialized Language Model (SLM). Think ChatGPT for recipes, but tuned for cooking data and running without per-token API costs. ...