How to Catch LLM Hallucinations – RAG Evaluation Evaluation Example
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How to Catch LLM Hallucinations – RAG Evaluation Evaluation Example

An in-house RAG/grounded-response evaluation project where two LLMs answer questions strictly from uploaded PDFs, with side-by-side comparison, clickable source citations, automatic benchmarking, and human annotators creating gold-standard ground truth responses. See how easy it is to verify hallucinations, measure quality improvements, and build reliable evaluation datasets. Useful Links & Resources: • Full Generative AI Lab course (free access): https://genailab.demo.johnsnowlabs.dev/ • Ready-to-import projects & notebooks: https://github.com/JohnSnowLabs/spark-nlp-workshop/tree/master/tutorials/Certification_Trainings/Training_Notebooks%26%20Slides/Generative_AI_Lab_Projects • Official Documentation & Quickstart: https://nlp.johnsnowlabs.com/docs/en/alab/quickstart • Book a Live Demo: https://www.johnsnowlabs.com/schedule-a-demo/ • Generative AI Lab Product Page: https://www.johnsnowlabs.com/generative-ai-lab/