AI Systems Fail Reality Test: Fine-Tuning, RAG, and Prompt Engineering Face Reliability Challenges

AI models performing well in demos frequently falter in production, exhibiting hallucinations and inconsistent outputs when deployed to real users. Analytics Vidhya examines three approaches—fine-tuning, RAG, and prompt engineering—to bridge the gap between controlled demonstrations and reliable real-world performance.