At the heart of any e-commerce platform lies the search bar — the critical bridge between user intent and the right product. The backbone of the search bar is search relevance — it ensures the search engine’s long-term health, determines user engagement and, ultimately, drives platform retention.
The 2026 edition of GeeCON didn’t look promising at first. I arrived in Kraków expecting the same slow decline I’d been hearing about — no crowds, only five sponsor booths, and talks from sponsors about their great products. Last year I heard the conference business was slowly dying, and I kinda agreed.
In this blogpost we want to introduce the topic of using a Large Language Model (LLM) as an evaluator — a novel approach to tackling the complexities of evaluating advanced machine learning systems, particularly in tasks like Automatic Summarization, Text Generation, and Machine Translation, where traditional metrics struggle to capture nuances like cross-lingual accuracy and bias detection.
