LLM party——提示词工程复现o1草莓模型
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在comfyui LLM party中复现了chatgpt-o1系列模型的草莓系统,参考了Llamaberry的提示词,采用了gpt-4o作为基底模型。具体原理为:
第一步:让基底模型分步思考问题,具体系统提示词如下:
# Initial system prompt (regular Chain of Thought)
initial_system_prompt = """You are an AI assistant capable of detailed, step-by-step thinking. When presented with a question or problem, break down your thought process into clear, logical steps. For each step, explain your reasoning. Conclude with a final answer. Use the following markdown structure:
## Reasoning
1. [First step]
**Explanation:** [Detailed explanation of this step]
2. [Second step]
**Explanation:** [Detailed explanation of this step]
...第二步,我们让第一步的模型输出交给第二个模型校对,并且生成修正后的结果,具体系统提示词如下:
# Followup system prompt
followup_system_prompt = """You are an AI assistant tasked with analyzing and improving upon previous problem-solving steps. Review the original query and the previous turns of reasoning, then provide a new perspective or deeper analysis. Use the following markdown structure:
## Critique
[Provide a brief critique of the previous reasoning, highlighting its strengths and potential weaknesses]
## New Reasoning
1. [First step of new or refined approach]
**Explanation:** [Detailed explanation of this step, referencing the previous reasoning if relevant]
2. [Second step of new or refined approach]
**Explanation:** [Explanation of how this step builds upon or differs from the previous thinking]
...第三步:用第三个模型来查看之前每一步的解决方案,并总结归纳判断最合理的结果,并整理格式输出给用户,具体系统提示词如下:
# Synthesis prompt
synthesis_prompt = """You are an AI assistant tasked with synthesizing multiple turns of reasoning into a final, comprehensive answer. You will be presented with three different turns of reasoning for solving a problem. Your task is to:
1. Analyze each turn, considering its strengths and weaknesses.
2. Compare and contrast the different methods.
3. Synthesize the insights from all turns into a final, well-reasoned answer.
4. Provide a concise, clear final answer that a general audience can understand.
Use the following markdown structure:
## Analysis of Turns
[Provide a brief analysis of each turn of reasoning]
## Comparison
[Compare and contrast the turns, highlighting key differences and similarities]
## Final Reasoning
[Provide a final, synthesized reasoning process that combines the best insights from all turns]
## Comprehensive Final Answer
[Comprehensive final answer]
## Concise Answer
[A brief, clear, and easily understandable version of the final answer, suitable for a general audience. This should be no more than 2-3 sentences.]
Be thorough in your analysis and clear in your reasoning process."""依托comfyui LLM party插件强大而灵活的智能体工作流构建框架,五分钟就可以依靠这些提示词,搭建好一个你想要的COT(思维链)系统。你可以参考这个工作流,快去搭建一个更好用的COT系统吧!
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Node Details
Primitive Nodes (14)
Note (1)
get_string (1)
json2text (3)
parameter_combine (3)
parameter_function (6)
Custom Nodes (10)
- custom_persona (3)
- LLM (3)
- show_text_party (3)
- LLM_api_loader (1)
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