CH02 Prompt
The prompt step is based on documents retrieved from the searcher The process by which a language model creates questions or commands to use is. This step Based on the information retrieved This is an essential step in generating a response that best responds to end-user questions.
Need for prompt
Context setting : The prompt serves to set the language model to work in a specific context. This allows the model to generate more accurate and relevant answers based on the information provided.
Information integration : Information retrieved from multiple documents may contain different perspectives or content. Integrate this information at the prompt stage, and adjust it to a format that allows the model to utilize it efficiently.
Improved response quality : The quality of the model's response to the question is highly dependent on the composition of the prompt. A well-organized prompt helps the model provide more accurate and useful information.
RAG prompt structure
Instruction
Questions (user input questions)
Context (Search information)
The importance of prompts
The prompt phase plays an important role in the RAG system.
Through this step, the language model is about the user's question Generate responses in an optimized way can, Direct impact on system-wide performance and user satisfaction Goes. If the prompt is not well organized, the model may work inefficiently, and as a result, it is more likely to generate a response that does not meet the needs of the user.
Reference
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