How I Built a Hallucination Detector for RAG Pipelines in Python

1. 1Build a RAG pipeline using Python and the Hugging Face Transformers library
2. 2Implement a hallucination detection algorithm using metrics such as ROUGE and BLEU
3. 3Configure the detector to flag potentially hallucinated outputs
4. 4Test the detector on a sample dataset to evaluate its effectiveness
5. 5Apply the detector to a production RAG pipeline to improve model reliability

Data scientists and machine learning engineers can benefit from this technique to enhance their RAG pipeline models and reduce hallucination errors

💡 Hallucination detection is crucial for improving the reliability of RAG pipeline models

🚀 Build a hallucination detector for RAG pipelines in Python to boost model accuracy! 🤖