IT Career Guides & Free Resources
Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics — written by GloryTecks trainers in Hyderabad.
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Retrieval Evaluation: Measuring RAG Quality
You cannot improve a RAG system you have not measured. This guide computes hit rate, MRR and nDCG on 40 real questions, then shows two things most tutorials skip: how wide the uncertainty is on a small test set, and why a retriever that looks better may not be better.
Evaluation Metrics: Accuracy, Precision, Recall and F1 Demystified
How to choose between accuracy, precision, recall, F1 and their relatives, with every number from a real medical screening dataset: why a do-nothing model scores 65% accuracy, how the threshold trades precision for recall, when F2 beats F1, how macro and micro averages differ, and why PR-AUC suits rare positives.