Explore why large language models hallucinate, focusing on probabilistic text generation flaws. Learn practical mitigation strategies like RAG and prompt engineering to improve AI reliability in enterprise applications.
Calibrating generative AI models ensures their confidence levels match real accuracy, reducing hallucinations and building trust. Learn how new techniques like CGM, LITCAB, and verbalized confidence make AI more honest and reliable.