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Understand why ROUGE as a recall-based metric is suitable for evaluating summarization tasks. Learn how different variations of ROUGE are tailored to solve various challenges in summarization, and get an intuition for when to use which metric to evaluate your summarizations.

Discover how to evaluate machine translation models with the BLEU score. Understand its precision-based principles, calculations, and practical implementation for accurate sequence-to-sequence model assessment and implement it from scratch.

Discover how models for language tasks such as text classification, generation, or machine translation can be evaluated. In-depth exploration of essential classification metrics like precision, recall, and F1 score, and introductions to further metrics and benchmarks.

Designing and implementing a responsive like button for getting user feedback with minimal friction in NextJS/React using Firebase Firestore.

How to write better Python unit tests in pytest, from basic tests to mocking with pytest-mock and monkeypatch.