Priyanshu Manash·Jul 20A Practical Guide to AI Model Evaluation for Security ProfessionalsBuilding trustworthy AI isn’t just about blocking attacks — it’s about measuring whether your AI is actually doing its job.
Chuan Zhang·Jun 22How Do We Know a Translation Is Good? A Four-Era Tour of MT MetricsFrom BLEU’s bag of n-grams to LLMs that read like a human reviewer — two decades of trying to put a number on translation quality.
AmeerSaleem·Apr 26Unpacking the BLEU score for machine translation evaluationBrevity penalty, modified n-gram precision and exponential decay. Add in a bit of geometric averaging too.
Ishan Toraskar·Apr 19BLEU vs ROUGE vs METEOR vs BERTScore: Bridging the Gap Between Lexical and Semantic Evaluation in…IntroductionA response icon1A response icon1
Shawn Singleton, II·Apr 9What BLEU Actually Measures — And Why I Started Using It to Validate AI OutputI ran into BLEU while trying to answer a simple question:
Dharmendra Pratap Singh·Jan 12Building an End-to-End NLP Pipeline (From Text to Deployment)So far in this series, we’ve learned about:
InTowards AIbyMichalzarnecki·Dec 19, 2025LLM & AI Agent Applications with LangChain and LangGraph — Part 16: String Evaluators (BLEU, ROUGE…Hi. Welcome to the next episode. The first category of evaluation techniques I want to cover is String Evaluators.
Abdul Gafar Manuel Meque·Oct 8, 2025Understanding Perplexity: How “Surprised” Is Your Model?Evaluating LLMs in Practice — Part 3 of 7 Fluency, Probability, and What Perplexity Really Means
InStackademicbyDhanushKumar·Aug 27, 2025LLM Evaluation Framework and metric — ILLM Evaluation Metrics
Akanksha Sinha·Apr 22, 2025LLM Evaluation: How to Measure What Matters“What gets measured, gets improved.” — Peter Drucker
