Fine-tuning an LLM on a Docker dataset turned out to be easier than I expected

LLM fine-tuning will never be easy. But it doesn’t have to be painful either.

Using LLaMA-Factory, I fine-tuned Gemma on a Docker-focused dataset, and the process was far more straightforward than I expected.

For narrow domains like Docker or DevOps, fine-tuning feels less like research now and more like regular engineering.

🔗 Google Colab link: https://colab.research.google.com/drive/1jcJV0gxBWwTnITgHTRKPLOX6EcYkIcrA?usp=sharing