Reducing Hallucinations and Alternatives in Retrieval Augmented Generation Systems

This chapter explores strategies for minimizing hallucinations in retrieval augmented generation systems, such as engineering prompts to focus on specific information while ignoring other sources. However, the difficulty of completely eliminating hallucinations is acknowledged, emphasizing caution in using these systems and suggesting alternatives like fine-tuned language models or combining retrieval augmented generation with fine-tuning LLMs for better control and adaptability.