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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.

How to install and use different Python environments with pyenv and the plugin pyenv-virtualenv.