06 / ENGINEERING NOTES
Engineering Notes
Long-form notes on AI, engineering systems, and organizational evolution.
Building a Recruitment LLM from Zero to One: A BOSS Zhipin–Style Case Study
A practical open-source blueprint for a recruitment-domain language model: product goals, data governance, continued pretraining, SFT and DPO, RAG, candidate–job matching, evaluation, safety, deployment, and a 12-week delivery plan.
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The Moat in Large Language Models Is Not Just Code—It Is Data
As Transformer implementations, training frameworks, and open weights become widely available, the scarce advantage shifts toward data quality, data mixtures, verification, governance, and the feedback loop that improves them.
Do Large Language Models Understand? From Next-Token Prediction to the Boundary of Intelligence
Large language models are built from next-token prediction and matrix operations. Does that mean they understand nothing? A careful distinction between representation, functional understanding, consciousness, and human experience.