Introduction to LLM
This page provides an easy-to-understand guide on LLMs (Large Language Models) from basics to applications for AI enthusiasts.
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Chapter 9 — The RAG Evaluation Triad
Ninth post of the LLM Primer III walkthrough. A RAG system can fail in three different places and the failures look identical from the outside — the Evaluation Triad of Context Relevance, Groundedness, and Answer Relevance is the small vocabulary that prevents fixing one bug while measuring another.
2026-03-26
Chapter 8 — Data Anonymization in the RAG Pipeline
Eighth post of the LLM Primer III walkthrough. Pre-generation versus post-generation anonymisation, the three technique families — masking, synthetic replacement, differential privacy — and the utility-privacy tradeoff that determines whether the system remains useful at all.
2026-03-25