Me: Explain in greater detail how to achieve more informative answers to prompt questions.

llama3.2: Achieving more informative answers requires a combination of understanding the context, nuances, and complexities of the question, as well as leveraging various strategies to refine your prompts.

Here are some advanced techniques to help you elicit more detailed and accurate responses:

1. Use specific keywords: Identify key terms or phrases within the prompt that convey the essence of the question. Incorporate these words into the prompt to guide me towards providing relevant
   information.
2. Clarify ambiguities: If there’s any ambiguity in the prompt, try to clarify it by asking follow-up questions or rephrasing the original prompt. This ensures I understand the context and provide a
   more accurate response.
3. Define technical terms: If the prompt involves technical terminology, define them clearly within the prompt or provide relevant background information. This helps me avoid misunderstandings and
   provide precise answers.
4. Provide additional context: Supplement the prompt with additional context, such as specific dates, events, or locations, to help me understand the question’s scope and relevance.
5. Specify evaluation criteria: If you’re asking for an assessment or opinion on a particular topic, clearly define the evaluation criteria (e.g., pros and cons, strengths and weaknesses) to ensure I
   provide a comprehensive analysis.
6. Use logical connections: Identify logical connections between ideas within the prompt, such as cause-and-effect relationships or sequential events. This helps me provide a more coherent and
   structured response.
7. Avoid vague assumptions: Avoid making assumptions about the question’s scope or expectations. Instead, explicitly state what you’re looking for (e.g., “Please provide an overview of…”, “Explain
   the concept of…”).
8. Use precise language: Use specific, concise language to convey your questions and requests. This helps me understand your intent more accurately.
9. Include relevant data or examples: Provide additional context, such as relevant data, statistics, or examples, to help me provide more accurate and informative responses.
10. Iterate and refine: Don’t be afraid to revisit the prompt and refine it based on my response or any feedback you receive.

Advanced techniques for refining prompts

1. Use sub-questions: Break down complex questions into smaller, manageable parts, using sub-questions to provide additional context and clarify expectations.
   Example: “Explain the concept of blockchain technology in simple terms. Please break it down into its key components and explain how they work together.”
2. Employ meta-prompting: Use a meta-prompt to ask me about the prompt itself or my understanding of the question, which can help refine your initial query.
   Example: “Can you clarify what you understand by ‘ blockchain technology’ in this context?”
3. Specify output formats: Request specific output formats (e.g., bullet points, numbered lists) or file types (e.g., CSV, JSON) to ensure I provide the desired structure and presentation.
4. Use multi-step prompts: Create a series of nested questions or steps within a prompt to guide me through a more complex inquiry.
   Example: “Provide an overview of quantum computing, including its development, major milestones, and current state. Please break it down into sections (1) introduction, (2) key technologies, and (3)
   applications.”
5. Make requests for supporting evidence: Request references or citations to support my response, which can help you evaluate the accuracy and reliability of the answer.
   Example: “Explain the concept of artificial intelligence in simple terms. Please provide at least two relevant studies or publications that demonstrate its application.”

By employing these advanced techniques, you’ll be better equipped to craft effective prompts that elicit detailed, accurate, and informative responses from language models like myself.