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How to master the superb deepseek tips for efficient use?

The core of the problem is not deepseek, there is no difference between deepseek and other techniques for using large models that you can find in the AI commands You'll learn a lot of tips on how to use deepseek, and you'll want to know about the specific tips for deepseek.  DeepSeek-r1 belongs to the inference model, by his particular technique of using it, for example:OpenAI Release: Applications and Best Practices for AI Inference Modeling ,Hint Engineering for OpenAI O1 and O3-mini Inference Models The following are some clichéd tips for efficient use of the more general hints command. Here are some clichéd tips for efficient use of the more general hints command.

 

I. Instruction to construct a golden triangle

Structured Questioning Formula::[角色]+[任务]+[输出要求]+[风格限定]

  • Failure Cases:解释机器学习
  • Success Stories:作为AI算法工程师,用比喻手法向高中生解释监督学习与无监督学习的区别,要求对比表格形式呈现,附带生活案例

Core Parameters Comparison Table

parameter dimension poor quality input Optimization solutions
specificity 写代码 用Python实现快速排序,要求添加时间复杂度的注释,处理含重复元素的特殊情况
restrictive condition 推荐书籍 推荐5本2020年后出版的强化学习专著,排除翻译作品,按影响因子排序,附ISBN编号
output format 写报告 生成区块链技术医疗应用研究报告,采用Markdown格式,包含三级目录结构,每章节配3个案例

 

II. Contextual control techniques

1. Memory guidance techniques

[Historical Conversation] User: How are Jay's latest albums selling?
DeepSeek: The Greatest Hits 2.87 Million Physical + Digital Sales Worldwide Through Q3 2023


[Current Question] User: Compare this data to Taylor Swift's performance over the same period of time

2. Knowledge boundary statements

Accurate knowledge retrieval::据2024年arXiv论文《LLM...》,请验证...
Fuzzy Reasoning Statement::假设你是量子计算专家,推测...

 

III. Enhancement strategies in specialized areas

Academic Research Scenarios

以Nature论文评审视角,分析这篇生成式AI伦理论文的5个创新点和3个方法论缺陷,引用ACM2023会议文献支持观点

Code Development Scenarios

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"""
需求:开发PyTorch图像分类模型
约束条件:
1. 使用ResNet-34预训练模型
2. 冻结前10层参数
3. 添加自定义数据增强模块
4. 输出训练过程可视化方案
请分步骤解释实现逻辑,标注关键超参数设置依据
"""

 

IV. Cognitive bias avoidance methods

1. Prevention of the fallacy of attribution

  • Original Question:为什么Transformer比CNN更好?
  • Optimize questioning:在图像分类任务中,对比Vision Transformer与CNN的适用场景,需包含:1) 数据量要求 2) 计算成本 3) 可解释性差异

2. Chain of thought induction

分三步推导比特币减半对矿工收益的影响:首先建立基础收益模型,其次引入电力成本变量,最后加入矿池竞争因子,要求数学公式表达

 

V. Real-time feedback tuning mechanism

Dialogue revision paradigm

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用户:生成新冠疫苗有效性分析报告(结果出现过时数据)
DeepSeek:提供202312WHO最新报告中的异源加强接种效率数据
用户:请基于PMID 38456721文献更新第3章节,补充mRNA疫苗与传统灭活疫苗的长期抗体衰减对比

Accuracy Verification Command

请为以下陈述提供三重验证:1) 权威文献支撑 2) 行业数据佐证 3) 反向案例筛查

 

VI. Typical Scenario Instruction Library

Scene Type Standard Instruction Templates
academic proof 基于[文献DOI]的研究方法,重构...的论证框架,需满足[特定条件]
Business Analysis 构建SWOT模型分析...行业趋势,数据源限定为[指定年鉴/财报],置信度标注
Idea Generation 以[特定风格]创作...,融合[元素A]+[元素B],遵守[约束条件]
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