What is a system prompt?
Research Question
Academic Insights
A system prompt is a predefined set of instructions, examples, and knowledge documents used to guide the behavior of a large language model (LLM) across multiple requests, aiming to improve efficiency and maintain consistency in responses.
Key Insights
- Definition and Purpose:
- A system prompt is a long, predefined input that specifies the instructions, examples, and knowledge documents for a task, reused across multiple requests to guide the LLM's behavior .
- Challenges:
- Long system prompts can cause throughput and latency bottlenecks due to the increased cost of generating the next token as the sequence length grows .
- Efficiency Improvements:
- RelayAttention, an attention algorithm, has been proposed to handle system prompts more efficiently by reducing redundant memory accesses, thus improving performance without requiring model retraining .
Conclusion
System prompts are essential for guiding LLMs in a consistent manner across multiple requests, but they can introduce efficiency challenges that need to be addressed through optimized algorithms like RelayAttention.
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Related Questions
- How does a system prompt work?
- What are the types of system prompts?
- Why are system prompts important?
- Can system prompts be customized?
- What is the difference between a system prompt and a user prompt?
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