Tags
- compliance1
- llm1
- machine-learning1
- model-selection1
- privacy1
- rag1
Posts
On the engineering judgement behind these projects: why each call went the way it did, what it gave up, and what is still not good enough. Available in English and Chinese.
About 4 min read
Consent is not a checkbox: designing for highly sensitive data
GDPR Art. 7 sets the conditions under which consent counts at all. The real bar is not more explanatory text — it is whether your product still works properly after someone refuses.
- privacy
- compliance
About 4 min read
Grounding an LLM with RAG: the hard part is deciding when to retrieve
Retrieval stops a model inventing clinical advice. The harder question is when to retrieve at all — and the two ways of getting that threshold wrong cost very different things.
- rag
- llm
About 5 min read
Why Random Forest beat XGBoost and an LSTM on my dataset
Forecasting mood from a behavioural time series points straight at an LSTM. With a few hundred rows per user, a 50 ms latency budget and users who ask why, it points somewhere else entirely.
- machine-learning
- model-selection