Reward Function
AI Infrastructure
A technique that combines information retrieval with text generation to produce more accurate and factual outputs. This approach grounds language model responses in specific knowledge sources.
Detailed Explanation
Retrieval-Augmented Generation (RAG) is an innovative AI infrastructure technique that enhances language models by integrating external information retrieval. It combines search mechanisms with text generation, allowing models to access and incorporate specific, relevant knowledge sources. This process improves factual accuracy and response reliability, enabling AI systems to produce more informed, contextually grounded outputs rather than relying solely on pre-trained knowledge.
Use Cases
- •Enhances customer support by retrieving relevant product information in real-time for accurate, context-aware responses.
Related Terms
Other terms in the AI Infrastructure category