SERIES / S-02
SLM Research
small + tuned wins.
Field notes from testing the Specialized Language Model thesis: that small, fine-tuned models on the right data beat large general-purpose ones on the work I actually do.
3
POSTS IN SERIES
DEC 2025
STARTED
●
ACTIVE
PART 01
Fine-Tuning Qwen Models: From Theory to Practice
Fine-tuning Qwen 32B and 14B models to create ChefBot—a cooking AI that outperforms general-purpose LLMs in the kitchen.
PART 02
Fine-Tuning a Personal Executive Assistant: Lessons from My Management Notes
How I fine-tuned IBM Granite 4.0 H Micro on 5+ years of management notes to create a personalized AI assistant—after three failures, the key was data quality.
PART 03
I Let Two AIs Talk to Each Other for 500 Turns. It Got Weird.
What happens when you let two local LLMs have unsupervised conversations? Cosmic harmony engines, fictional PhD consultants, and a surprisingly deep discussion about why chickens cross roads.