Topic

LLMs

Large language models: architecture, fine-tuning, serving and cost.

28 August 20262 min read

RAG is a retrieval problem, not a prompting problem

Two-thirds of the accuracy gain in our production RAG system came from changes upstream of the model. Here is the measured breakdown, and what to fix in what order.

LLMs
RAG
Evaluation

19 August 20261 min read

How to evaluate an LLM system without fooling yourself

Vibes-based evaluation is how teams ship regressions. A practical framework: golden sets, calibrated judges, regression gates, and the failure modes of each.

LLMs
Evaluation
MLOps

10 August 20261 min read

Fine-tuning vs RAG: a decision procedure, not a debate

The question is not which is better. It is which failure you are trying to fix — missing knowledge, wrong behaviour, or unacceptable cost.

LLMs
RAG
MLOps