6/ Define Output & Format Explicitly Being vague leads to poor results. Be very specific about the format. Example:
“Provide a detailed step-by-step breakdown in bullet points.” This forces structure and clarity.
@godofprompt
-
Best Practices for Defining AI Output and Formatting
By
–
-
Optimal Prompting Techniques for DeepSeek-R1
By
–
5/ Zero-Shot Prompting Works Best Unlike other LLMs, deepseek-R1 typically performs better without examples. Instead of showing it a few answers, just use the techniques above for best results.
-
Improving LLM Reasoning Through Multi-Option Comparison
By
–
4/ Contrast Multiple Approaches
— God of Prompt (@godofprompt) 7 février 2025
Want the best solution? Have deepseek-R1 compare multiple options.
Example:
“List 10 ways to achieve X. Then determine the most effective approach.”
This increases its reasoning time and improves decision-making. pic.twitter.com/v8fpgGaizk4/ Contrast Multiple Approaches Want the best solution? Have deepseek-R1 compare multiple options. Example:
“List 10 ways to achieve X. Then determine the most effective approach.” This increases its reasoning time and improves decision-making. -
Improving AI Response Accuracy via Self-Reflection Prompting
By
–
3/ Encourage Self-Reflection
— God of Prompt (@godofprompt) 7 février 2025
The model is great at checking its own work—if you ask it to.
Prompt it with:
“Identify potential flaws in your approach and suggest solutions.”
You’ll get a more refined and accurate response. pic.twitter.com/WrHq6DtAA93/ Encourage Self-Reflection The model is great at checking its own work—if you ask it to. Prompt it with:
“Identify potential flaws in your approach and suggest solutions.” You’ll get a more refined and accurate response. -
Optimizing Prompting Strategies for Deepseek-R1 Reasoning
By
–
2/ Encourage Step-wise Reasoning
— God of Prompt (@godofprompt) 7 février 2025
Deepseek-R1 performs significantly better when it works step by step.
Use phrases like:
“Break down the problem step by step and solve it.”
This forces deeper thinking and better results. pic.twitter.com/kzihKoeRYI2/ Encourage Step-wise Reasoning
Deepseek-R1 performs significantly better when it works step by step. Use phrases like:
“Break down the problem step by step and solve it.” This forces deeper thinking and better results. -
Improving DeepSeek-R1 Output Quality via Role Specification
By
–
1/ Role Specification
Always assign a relevant role to deepseek-R1. Example:
“You are a senior software engineer specializing in AI infrastructure.” This sets context and improves output quality. -
Optimizing Prompting Techniques for DeepSeek-R1 Performance
By
–
Many people struggle to get the best responses from deepseek-R1. They assume it works like ChatGPT. But with the right prompting techniques, you can unlock its full potential. Here’s how to improve accuracy and encourage deep thinking:
-
Understanding the limitations and biases of AI systems
By
–
7/ Understand AI’s limits. Most people will blindly trust AI. They’ll assume it’s always right.
That’s a mistake. The people who succeed will be the ones who know when AI is wrong, biased, or incomplete. They’ll be the ones fixing mistakes, not making them. -
Transitioning from AI user to AI operator
By
–
3/ Be the AI Operator, not the operated. Most people will use AI like a Google search. The winners will: • Build AI workflows
• Automate tasks
• Train AI to enhance their skills AI is a power tool. Learn how to use it properly. -
Use AI or Become Irrelevant at Work
By
–
1/ AI won’t take your job. Someone using AI will. Trying to compete with AI is a losing game. The smart move? Learn how to make AI work for you. If you don’t, someone else will and they’ll do your job 10x faster.