Short Answer
Ensuring AI responses are based on factual information rather than fabrication.
Grounding refers to techniques that help ensure AI responses are based on reliable, factual
information rather than hallucinated or fabricated content. This is crucial for maintaining
accuracy and trustworthiness.
Grounding techniques include:
- Source citation: Providing references and sources
- Fact verification: Checking information against reliable sources
- Context provision: Giving relevant background information
- Uncertainty expression: Acknowledging when information is unclear
- Boundary setting: Defining what the AI can and cannot know
✅
Best Practices
- Provide reliable source materials
- Ask for source citations in responses
- Include uncertainty qualifiers
- Set clear knowledge boundaries
- Verify critical information independently
🎯
Use Cases
- Research and analysis
- Educational content
- Professional reporting
- Fact-checking
- Knowledge management