Citations with Amazon Nova understanding models

This article discusses how large language models (LLMs) can improve credibility by providing citations, focusing on Amazon Nova's capabilities for generating sourced responses.

• Citations help address LLM hallucinations by allowing users to verify information
• Amazon Nova understanding models can be prompted to cite sources from provided context
• The authors demonstrated citation techniques using Amazon shareholder letters as examples
• They evaluated Nova Pro's responses using an LLM-as-a-judge technique in Amazon Bedrock
• Evaluation metrics showed high scores for coherence, faithfulness, and correctness

The key takeaway is that simple prompting instructions can make AI responses more trustworthy by requiring source citations and verifiable references.