How to make LLM response more useful, relevant and appropriate
To make LLM (Large Language Model) responses more useful, relevant, and appropriate, several techniques can be applied: Enhancing LLM responses involves careful prompt engineering, retrieval of relevant data, and validation to ensure accuracy, relevance, and appropriateness. Techniques like RAG, fine-tuning, and post-processing help improve the quality of outputs.