PromptBase
🦙 Llama
Analyzes and optimizes a prompt using the BITE prompting framework. BITE stands for Behavioral Instructions, Interaction Modeling, Task Elaboration, and External Context.
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Over 1 month ago
Prompt Details
Model
(llama-2-70b-chat)
Token size
389
Example input
[prompt]: Explain quantum mechanics to me.
Example output
Let's analyze the prompt "Explain quantum mechanics to me." and separate it into the four building blocks of the BITE framework:
**Behavioral Instructions**: None provided.
**Interaction Modeling**: None provided.
**Task Elaboration**: None provided.
**External Context**: None provided.
From this analysis, we can see that the prompt is quite general and doesn't contain any specific instructions for the LLM to structure its response.
To improve the prompt and make it more effective, let's modify it by incorporating parts from underrepresented blocks:
1. **Behavioral Instructions**: Add some behavioral cues to provide guidance on how the LLM should explain quantum mechanics. For example: "Explain quantum mechanics in simple terms, as if you were explaining it to a curious 12-year-old."
2. **Interaction Modeling**: Provide some instructions on how the interaction should unfold. For example: "Start by introducing the concept of quantum mechanics and then break it down into smaller, manageable pieces."
3. **Task Elaboration**: Add some specific details on what the task entails. For example: "Explain the quantum mechanics behind superposition and entanglement, and provide some real-world examples of how it's applied."
4. **External Context**: Provide some context for the LLM to understand the purpose of explaining quantum mechanics. For example: "I'm a high school student trying to understand quantum mechanics for a project, can you help me out?"
Here's an improved prompt that incorporates parts from underrepresented blocks:
"Explain quantum mechanics in simple terms, as if you were explaining it to a curious 12-year-old. Start by introducing the concept of quantum mechanics and then break it down into smaller, manageable pieces. Focus on superposition and entanglement, and provide some real-world examples of how it's applied. I'm a high school student trying to understand quantum mechanics for a project, can you help me out?"
This improved prompt provides more structure and context for the LLM to generate a more effective and informative response.