How to Write a Perfect Machine Learning Document
Bengio-style ML Task Specification: From Research to Engineering Subtitle: How to write a reproducible, explainable, and comparable fine-tuning task document based on Yoshua Bengio’s methodology. Reading time: 10 minutes Tags: ML documentation, fine-tuning, technical standards, deep learning practice Audience: mid to senior ML engineers, researchers, technical writers 1. Why do we need this document? In ML projects, teams often run fine-tuning experiments. Months later, nobody can reproduce results or explain why a learning rate or LoRA layer was chosen. ...